30 Data Science jobs in Boise

Ready to be pushed beyond what you think you're capable of?
At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system.
To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.
Our is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights and drive decisions which directly move the company's bottom line.
We're looking for an experienced manager to lead the Developer data science team, a fast growing area of the business that's not only working on some of the most cutting edge web3 applications, but which is also critical to Coinbase's mission of bringing one billion people onchain. They'll work with their team to devise strategies to help grow the product, support a culture of experimentation, and hold a high bar for rigorous and analytical decision making.
*What you'll be doing (ie. job duties):***
* Manage, mentor and grow a team of data scientists and build solid working partnerships with product teams
* Act as a strategic thought partner to product teams and Coinbase executives; lead the team to execute on data-based analyses to help prioritize product opportunities and provide actionable recommendations
* Standardize best practices for analysis, modeling and experimentation; develop scalable processes to help the team solve pain points and meet goals
* Design communication structure and cadence with team members; synthesize data learnings into compelling stories and communicate them throughout Coinbase
* Act as the business metrics owner for performance management
* Drive data team and organizational level initiatives to scale our insights through better systems and automation
*What we look for in you (ie. job requirements):*
* BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree
* 5+ years of experience as a hands-on leader of a high-performing data science/analytics team
* 10+ years of experience providing business insights and driving data science initiatives
* Experience in both internal and external storytelling and executive presentations
* Experience overseeing large, complex and cross-functional initiatives
* Expertise with analytics tools, data visualization, SQL, R, or Python as applied to data science and analytics
* Deep knowledge of data models and experimental design and execution
* Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders
* Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
* Self-driven and able to create plans for analytics projects and build collaboration within the team
*Nice to haves:*
* Masters or PhD in computer science, statistics, applied mathematics, or any scientific or computational degree
* Experience building causal inference models and overseeing synthetic experimentation
* Domain experience in Fintech product and growth areas
* Experience manipulating large amounts of structured and unstructured data
*Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
Pay Range:
$243,865-$286,900 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations(at)coinbase.com

**Our vision is to transform how the world uses information to enrich life for** **_all_** **.**
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Micron's Data Science experts develop AI and data-driven solutions to tackle hard to solve challenges in semiconductor process and fab technology development. The team plays a key role in enabling intelligent automation and decision-making across Micron's portfolio
**Responsibilities**
+ Own the creation of AI systems optimizing semiconductor design, product engineering, verification & validation, and manufacturing workflows using large-scale data.
+ Architect and implement Agentic AI systems that integrate with Modeling tools, EDA tools, design environments, and product/manufacturing test platforms to automate tasks such as spec translation, design verification, product validation, and test log root cause analysis for components and system-level products.
+ Establish and promote Best Known Methods (BKMs) for deploying LLMs and agentic systems in live environments, ensuring reliability, efficiency, and maintainability.
+ Benchmark and evaluate model performance using structured evaluation frameworks, and continuously refine models through timely tuning, RLHF, and feedback loops.
+ Collaborate with multi-functional teams-including process engineers, design engineers, product and test engineers, and data scientists-to define high-impact problem statements and deliver scalable AI solutions.
+ Communicate technical insights and solution strategies clearly to both technical and non-technical team members through compelling data storytelling and visualizations.
**Minimum Qualifications**
+ Must have a Master's, PhD, or equivalent experience in Electrical Engineering, Computer Science, or a related field.
+ Proficient in Python, with five years of experience working with a variety of semiconductor design & process datasets. Proficient in using enterprise data platforms like Snowflake, BigQuery, MSSQL, Oracle, and AWS Redshift for scalable data processing and analysis.
+ Hands-on experience building and leading AI/ML projects involving LLMs, RAG, and Agentic workflows deployed, demonstrated expertise in ML frameworks such as PyTorch or TensorFlow.
+ Solid understanding of domain-adapted LLM training with practical experience, including pretraining, post training on in-domain synthetic datasets, and model quantization for efficient deployment
+ Must have shown cloud platform experience such as GCP, AWS, or Azure, including deployment of ML pipelines in production environments.
+ Familiarity with LLM evaluation and benchmarking techniques, including RLHF, timely tuning, and reward modeling for hardware-aware use cases.
+ Consistent track record to independently drive AI/ML projects from problem prioritization through deployment in semiconductor environments.
+ Excellent interpersonal experience with the ability to collaborate with process technology, silicon design, design verification, validation, and product engineering teams, and translate sophisticated AI/ML concepts into actionable solutions for hardware development.
**Preferred Qualifications**
+ Experience includes direct application of AI/ML to semiconductor design, processing, workflows.
+ Deep understanding of semiconductor-specific AI/ML applications.
+ Experience with CI/CD pipelines and MLOps practices for ML/LLM deployment.
+ Strong understanding of agentic AI frameworks (e.g., LangGraph, AutoGen) and evaluation tools (e.g., AgentEval).
+ Shown proficiency in translating sophisticated technical concepts into actionable insights for multi-functional teams!
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your **right to work click here. ( learn more about Micron, please visit **micron.com/careers**
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert **:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

**Lead AI Innovation Lead - Data Science Lab**
**Overview**
Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.
Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.
Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.
In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.
**Key Responsibilities Include:**
Leadership & Strategy
+ Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.
+ Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.
+ Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.
+ Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.
Innovation & Research
+ Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.
+ Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.
+ Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.
+ Create patentable technologies and methodologies that drive long-term innovation.
AI/ML Development
+ Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.
+ Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.
+ Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.
+ Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.
Operational Excellence
+ Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.
+ Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.
+ Actively participate in proof-of-concept evaluations of new data, software, and technologies.
Collaboration & Integration
+ Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.
+ Contribute to the standardization of data science tools, processes, and best practices across the enterprise.
+ Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences
**You are:**
+ You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
+ You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.
+ You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.
+ You have demonstrated track record of managing data science teams and working with business leaders.
**You have:**
+ PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field
+ 7+ years of hands-on ML modeling/development experience
+ Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)
+ Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions
+ Strong programming skills in Python including PyTorch and/or Tensorflow
+ Solid background in algorithms and a range of ML models
+ Experience leading team of Data Scientist of four or more
+ Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
+ Excellent analytical and problem-solving abilities with superb attention to detail
+ Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
**Location:**
+ Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA
+ Remote Candidates who can travel up to 20% of the time to our New York office will be considered.
**Salary Range:**
$148,940.00 - $244,685.00
The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
**Our Promise**
At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
**Inspire Well-Being**
As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . _Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits._
**Equal Employment Opportunity**
Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
**Accommodations**
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .
**Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.**
Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .

Our client is offering an exciting internship opportunity for a motivated Junior Data Scientist specializing in Predictive Analytics to join their innovative team in Boise, Idaho, US . This role provides invaluable hands-on experience in leveraging large datasets to build predictive models that drive business insights and strategic decisions. You will work under the guidance of senior data scientists, gaining exposure to the full data science lifecycle, from data cleaning and feature engineering to model development, evaluation, and deployment. The ideal candidate will possess a strong foundation in statistics, machine learning, and programming, coupled with a passion for uncovering patterns and solving complex problems.

Responsibilities:

• Assist in the collection, cleaning, and preprocessing of diverse datasets.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and relationships within the data.
• Develop and implement machine learning models for predictive tasks (e.g., forecasting, classification, regression).
• Evaluate model performance using appropriate metrics and techniques.
• Collaborate with senior data scientists to refine model algorithms and optimize parameters.
• Assist in the interpretation of model results and communicate findings to technical and non-technical stakeholders.
• Contribute to the documentation of data pipelines, models, and analytical processes.
• Stay updated on the latest research and advancements in data science and machine learning.
• Participate in team meetings and contribute ideas for new analytical approaches.
• Support the development of data visualizations to effectively communicate insights.
• Gain practical experience with various data science tools and platforms.
• Assist in the A/B testing framework design and analysis.
• Help in identifying new data sources and opportunities for enhanced predictive capabilities.
• Learn and apply best practices in data governance and ethical data usage.
• Engage in coding reviews to improve code quality and maintainability.

Qualifications:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Solid understanding of statistical concepts and machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVMs).
• Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/Keras, PyTorch).
• Familiarity with data manipulation and querying languages like SQL.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication abilities.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively both independently and as part of a team.
• Prior exposure to data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
• Experience with cloud platforms (AWS, Azure, GCP) is advantageous.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• A portfolio of personal data science projects or contributions to open-source projects is highly regarded.

This internship offers a fantastic opportunity to build a strong foundation in data science within a supportive and dynamic environment. Our client provides a competitive stipend and opportunities for future employment.

Our client, a leading global Fast-Moving Consumer Goods (FMCG) company, is seeking an exceptional and visionary Head of Data Science to lead their fully remote analytics team. This is a transformative opportunity to leverage advanced data science techniques to drive business strategy, optimize product development, enhance marketing effectiveness, and improve consumer engagement across a diverse portfolio of brands. The ideal candidate will possess a deep expertise in statistical modeling, machine learning, big data technologies, and a proven ability to translate complex data insights into actionable business recommendations.

Responsibilities:

• Lead, mentor, and grow a high-performing team of data scientists and analysts, fostering a culture of innovation and data-driven decision-making.
• Develop and implement a comprehensive data science strategy aligned with the company's business objectives and growth opportunities.
• Oversee the design, development, and deployment of advanced analytical models for customer segmentation, predictive analytics, demand forecasting, churn prediction, and marketing optimization.
• Leverage machine learning algorithms, statistical modeling, and AI techniques to uncover actionable insights from large, complex datasets.
• Collaborate closely with business leaders across marketing, sales, product development, and supply chain to identify key business challenges and opportunities for data science solutions.
• Ensure the integrity, accuracy, and scalability of data pipelines and analytical models.
• Champion the adoption of data-driven insights throughout the organization, communicating complex findings clearly to both technical and non-technical stakeholders.
• Stay at the forefront of data science advancements, evaluating and implementing new technologies and methodologies.
• Define key performance indicators (KPIs) for data science initiatives and track their impact on business outcomes.
• Oversee data governance, quality, and ethical considerations within the data science function.
• Manage relationships with external data providers and technology partners.
• Contribute to the development of a robust data infrastructure and analytical tools.

Required Qualifications:

• Ph.D. or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, or a related discipline.
• 10+ years of experience in data science, with at least 5 years in a leadership role managing data science teams, preferably within the FMCG or CPG industry.
• Demonstrated expertise in building and deploying machine learning models, statistical analysis, and predictive modeling techniques.
• Proficiency in programming languages such as Python or R, and experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of database technologies (SQL, NoSQL) and data warehousing concepts.
• Proven ability to translate complex data insights into clear, actionable business strategies.
• Excellent communication, presentation, and stakeholder management skills.
• Experience with A/B testing, experimental design, and campaign analytics.
• Strong understanding of the FMCG/CPG landscape, including consumer behavior, retail dynamics, and marketing strategies.
• Strategic thinker with a proactive approach to problem-solving and driving business impact.
• Experience managing budgets and external vendor relationships.

This fully remote leadership role offers a highly competitive compensation package, including a significant bonus structure and comprehensive benefits, providing an exceptional opportunity to shape the data-driven future of a major consumer goods company.

**Overview**
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security.
**Responsibilities**
The Data Science and Machine Intelligence Group is seeking a highly motivated post-Masters Research Associate with a strong background in Natural Language Processing (NLP) to join our dynamic team. The research will entail working closely with other researchers on design, development and application of NLP methods to solve challenging domain problems. In particular, focus will be on the training and evaluation of large language models and creation of LLM-based agents and multi-agent systems. Preferred skills will include familiarity and prior experience in data science, high performance computing, high level languages such as Python, and AI/ML libraries such as LangChain, LangGraph, PyTorch and Tensorflow.
+ Application and training/evaluation of large language models.
+ Creating LLM Agents and agentic systems.
+ Natural language processing and prompt engineering.
+ General data science, data curation and data processing.
+ Applied mathematical principles to identify trends in data sets.
**Qualifications**
Minimum Qualifications:
+ Candidates must have received a Master's degree within the past 24 months or within the next 8 months from an accredited college or university.
Preferred Qualifications:
+ Master's degree in Computer Science, Data Science, Applied Mathematics, or a closely related field, with strong emphasis on Natural Language Processing (NLP) and Machine Learning.
+ Strong record of peer-reviewed publications in Natural Language Processing (NLP), Large Language Models (LLMs), or related fields, demonstrating thought leadership and contributions to the research community.
+ Advanced proficiency in high-level programming, particularly Python, with hands-on experience using leading NLP and ML libraries (e.g., Hugging Face, LangChain) and modern software practices such as containerization (Docker).
+ Proven ability to design, train, and deploy models using cloud platforms (AWS, Azure) and machine learning frameworks (e.g., PyTorch, TensorFlow).
+ Demonstrated success in advancing scientific discovery through research outputs such as publications, open-source software, or innovative applied solutions.
+ Prior experience working with large unstructured datasets, including text and images extracted from PDFs and developing Retrieval-Augmented Generation (RAG) pipelines is highly desirable.
**Hazardous Working Conditions/Environment**
Not Applicable.
**Additional Information**
Not Applicable.
**Testing Designated Position**
Not a Testing Designated Position.
**About PNNL**
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
**Commitment to Excellence and Equal Employment Opportunity**
Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer.
Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at .
**Drug Free Workplace**
PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.
If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.
**Security, Credentialing, and Eligibility Requirements**
As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.
**Mandatory Requirements**
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
**Rockstar Rewards**
Employees and their families are offered medical insurance, dental insurance, vision insurance, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, supplemental parental bonding leave**, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company funded pension plan* and may enroll in our 401k savings plan. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.
* Research Associates excluded.
**Once eligibility requirements are met.
Click Here For Rockstar Rewards ( to Applicants**
PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.
As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.
**Minimum Salary**
USD $78,500.00/Yr.
**Maximum Salary**
USD $102,050.00/Yr.

**Company :**
Highmark Health
**Job Description :**
**JOB SUMMARY**
We are seeking a visionary and experienced Data Science Manager to lead our team of innovative data scientists within the AI Platforms and Services team. Reporting directly to the Director of AI Platforms and Services, this pivotal role focuses on research and development, guiding a team dedicated to exploring the cutting edge of Generative AI to solve complex business problems and pioneer new solutions in the healthcare technology space.
In your role, research involves identifying innovative ways to apply generative AI to solving complex business challenges, ensuring its transformative potential is realized across diverse domains. The team is dedicated to developing foundational frameworks such as Gen AI app/AI agent design standards, rigorous evaluation methods, and Responsible AI (RAI) principles, which underpin multiple applications and use cases developed on our platforms. Additionally, you will guide a group of data scientists tasked with exploring generative AI use cases and creating proofs of concept (POCs) that pave the way for impactful deployments.
As the leader of our data science R&D efforts, you will lead, manage, and mentor a team of 5 to 6 talented professionals with varying experiences, fostering their professional growth and creating an environment of collaboration, and high performance. You will define and execute the **R&D roadmap for Generative AI foundations** , aligning research initiatives with strategic business objectives and emerging technological trends. By cultivating a culture of relentless curiosity and experimentation, you will guide the team in exploring novel gen AI techniques, architectures, and tools such as cloud platforms (AWS, Azure, GCP), programming languages (Python, R), and machine learning platforms (e.g., SageMaker, Vertex AI).
Your role involves overseeing the end-to-end process of **building and testing AI prototypes** , from initial data exploration and hypothesis testing to developing functional Gen AI modules that demonstrate feasibility and business value. While the team does not build predictive models, they focus on leveraging cutting-edge generative AI methods and tools to address complex use cases and deliver innovative solutions. You will act as the team's subject matter expert on the latest AI research, actively tracking advancements in areas like LLMs, RAG, fine-tuning, and agentic AI, and championing their application within the enterprise.
In this role, you will partner closely with Software Engineering, Infrastructure, Product Management, and Design teams to ensure a seamless transition from research to production for promising innovations. Additionally, your ability to translate complex data science/Gen AI concepts and research findings into clear, compelling narratives and strategic recommendations for both technical and non-technical stakeholders, including executive leadership, will be paramount to your success.
This is a unique opportunity to lead a brilliant team at the forefront of AI innovation, directly shaping the future of our organization's digital transformation. By driving the creation of market-differentiating AI capabilities with significant impact, you will champion a research-first mindset, uncover new opportunities in collaboration with key business stakeholders, and ensure efficient AI delivery through prototyping and innovation.
The AI Platforms and Services team is revolutionizing how our organization leverages AI. We value a collaborative, innovative, and results-oriented environment, encourage continuous learning, providing opportunities for professional development, open communication, collaboration, and a commitment to excellence on our agile team! We build and maintain the foundational infrastructure and reusable components that empower teams to rapidly develop and deploy AI-powered solutions at scale, impacting everything from streamlined operations to innovative new products. As the R&D leader on this team, you will be instrumental in driving our business strategy through AI, accelerating time-to-market, and minimizing risk across the enterprise. Join us and build the future of AI!
**ESSENTIAL RESPONSIBILITIES**
+ Perform management responsibilities to include, but are not limited to: involved in hiring and termination decisions, coaching and development, rewards and recognition, performance management and staff productivity.Plan, organize, staff, direct and control the day-to-day operations of the department; develop and implement policies and programs as necessary; may have budgetary responsibility and authority.
+ Create and communicate the product/capability vision, strategy and roadmap across multiple products or capabilities. Own the product/capability backlog and uses multi-stakeholder input to refresh and re-prioritize the backlog to drive business value. Clearly articulates backlog items and acceptance criteria to the team, and represent the capability in all governance meetings. Proactively identify new initiatives/themes and builds out backlog items under these new initiatives or themes based upon value. Empower team to manage their work by setting clear priorities and success metrics against the backlog.
+ Work directly with the business to understand their questions, business processes, programs and/ or initiatives, then oversee the identification and delivery of analytical solutions which support them to deliver value in production.This requires technical flexibility, strong knowledge of and delivery record in advanced analytical approaches.
+ Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and act upon. This will be include written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications, the analyses performed, and how the results link directly back to business objectives.Network in the wider organization to find new stakeholders and broaden the impact of the advanced analytic products / capabilities.
+ Research self-directed new analytical skills and approaches, building relationships internally and externally to transfer knowledge and maintain their position as subject matter experts, consult with fellow data scientists and analysts to guide analysis and deliver larger projects.
+ Other duties as assigned or requested.

**EDUCATION**
**Required**
+ Master's Degree in STEM (Science, Technology, Engineering, Mathematics) **OR** Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree
**Preferred**
+ Doctorate degree in STEM (Science, Technology, Engineering, Mathematics)
**EXPERIENCE**
**Required**
+ 7 years of Data Analytics, Academic Research, and/or Work Experience
+ 2 years of Data Analytics, Academic Research, and/or Work Experience (if PhD Education)
To Include
+ 1 year of Using Large Data-sets
+ 1 year in Predictive Modeling or Advanced Statistics
+ 1 year presenting complex analytics to non-technical audiences
**Preferred**
+ Proven experience leading and mentoring data science or AI engineering teams, fostering a culture of innovation, collaboration, and continuous learning.
+ Experience in building and managing high-performing teams in a research-focused environment.
+ Deep understanding of generative AI tools, architecture, and frameworks such as cloud platforms (AWS, Azure, GCP), programming languages (Python, R), and machine learning platforms (e.g., SageMaker, Vertex AI).
+ Excellent verbal written and oral presentation skills.
+ Demonstrated track record of communicating and collaborating with cross-functional teams and stakeholders, including executive leadership.
+ Proven collaboration skills in coordinating with technical teams, software development teams, data experts and engineers.
+ Proven ability to translate complex technical information to business stakeholders.
+ Exceptional problem-solving and critical-thinking skills, and ability to work effectively both independently and as part of a team.

**LICENSES AND CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ None
**SKILLS**
+ Analytics
+ Agile
+ Stakeholder Management
+ Presentation
+ Communication
+ People Management
+ Project Management

**Language (Other than English)**
None
**Travel Required**
0% - 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
Office-Based
Teaches / trains others regularly
Frequently
Travel regularly from the office to various work sites or from site-to-site
Never
Works primarily out-of-the office selling products/services (sales employees)
Never
Physical work site required
No
Lifting: up to 10 pounds
Frequently
Lifting: 10 to 25 pounds
Occasionally
Lifting: 25 to 50 pounds
Rarely
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement:_** _This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$108,000.00
**Pay Range Maximum:**
$201,800.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J

Our client is at the forefront of innovative mining operations and is seeking a highly experienced Lead Geotechnical Engineer to spearhead their remote sensing and data analysis initiatives. This is a fully remote position, focused on leveraging cutting-edge technologies to monitor, assess, and manage geotechnical risks across our diverse mining portfolio. You will be responsible for developing and implementing advanced data acquisition, processing, and interpretation strategies using satellite imagery, LiDAR, drone technology, and other remote sensing platforms. The ideal candidate possesses a deep understanding of geotechnical principles, extensive experience with geospatial data analysis, and a proven ability to translate complex data into actionable engineering insights. You will play a crucial role in enhancing mine safety, optimizing resource extraction, and ensuring environmental compliance.

Key Responsibilities:

• Develop and execute comprehensive remote sensing strategies for geotechnical site characterization and monitoring.
• Process, analyze, and interpret geospatial data (e.g., InSAR, optical imagery, LiDAR) to identify ground deformation, slope stability issues, and potential hazards.
• Utilize advanced geotechnical software and modeling techniques to assess risks and inform engineering designs.
• Integrate data from various sources, including ground-based measurements and drone surveys, to create holistic geotechnical models.
• Develop and implement data quality control and assurance procedures for remote sensing data.
• Prepare detailed technical reports, presentations, and recommendations for mine management and engineering teams.
• Collaborate with geologists, mine engineers, and environmental scientists to provide crucial geotechnical input for mine planning and operations.
• Stay abreast of emerging technologies and methodologies in remote sensing, geotechnical engineering, and data analytics.
• Mentor junior engineers and data analysts, fostering a culture of technical excellence and innovation.
• Contribute to the development of best practices for geotechnical risk management using remote sensing technologies.

Qualifications:

• Master's degree or Ph.D. in Geotechnical Engineering, Geological Engineering, or a related field with a strong emphasis on data analysis and remote sensing.
• Minimum of 8 years of progressive experience in geotechnical engineering, with at least 4 years focused on the application of remote sensing techniques in mining or civil engineering.
• Proficiency with GIS software (e.g., ArcGIS, QGIS) and remote sensing data processing platforms.
• Expertise in geotechnical analysis and modeling software (e.g., FLAC, Plaxis, Slope/W).
• Strong understanding of geological processes, soil mechanics, rock mechanics, and slope stability analysis.
• Experience with programming languages (e.g., Python, R) for data analysis and automation is highly desirable.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Proven ability to manage complex data projects and deliver clear, concise technical documentation.
• Strong communication and interpersonal skills, with the ability to work effectively in a remote team environment.
• Professional Engineer (PE) license or equivalent is a plus.

This role offers a unique opportunity to shape the future of geotechnical engineering in the mining industry through the strategic application of advanced remote sensing technologies, providing critical insights for safer and more efficient operations globally, all from a remote work setup.

**Job Description**
**Work Arrangement**
**Remote:** This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**The Role**
The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.
The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system.
As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack.
**What You'll Do (Responsibilities)**
+ Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework
+ Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results
+ Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance
+ Assess bias estimation and subsampling strategies used by system engineering
+ Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework
+ Conduct statistical analysis to evaluate ADS driving software aggregate measures
+ Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements
+ Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations
+ Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally
**This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate**
**Your Skills & Abilities (Required Qualifications)**
+ M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting
+ Expertise in statistical modeling, machine learning and/or deep learning techniques
+ Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods
+ Expertise generating insights from multiple large-scale datasets
+ Proficiency in SQL and Python
+ Experience with data visualization tools and techniques
+ Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
+ Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems
**What Will Give You a Competitive Edge** **(Preferred Qualifications)**
+ PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ Experience in safety, automotive, or robotics data science is preferred
**Compensation:**
+ The expected base compensation for this role is $160,200- $245,400 USD Annually
+ Actual base compensation within the identified range will vary based on factors relevant to the position
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.