125 Data Analytics jobs in Boise
VP, Data & Analytics

Posted today
Job Viewed
Job Description
We build tools that help people feel in control of their financial future, including:
+ **Private student loans** - low rates, people-first service, and flexible payments.
+ **Student loan refinancing** - break free from high-interest rates or monthly payments.
+ **Scholarships** - access to thousands of scholarships to help students pay less.
Earnies are committed to helping students live their best lives, free from the stress of student debt. If you're as passionate as we are about our mission, read more below, and let's build something great together!
**The VP of Data & Analytics position will report to the Chief Operating Officer.**
**As the VP of Data & Analytics you will:**
+ Develop and execute a comprehensive data strategy while building and leading high-performing, cross-functional data teams to foster a data-driven culture and enable data-informed decision-making.
+ Facilitate collaboration with business leaders to identify innovation opportunities, improve operational efficiency, and effectively communicate complex insights to technical and non-technical audiences.
+ Oversee the design, development, and maintenance of scalable data pipelines, warehouses, and governance frameworks to support analytics, ensure data quality, and empower self-service analytics.
+ Own pricing strategies, including dynamic pricing models, price elasticity analyses, and experimentation initiatives to drive business outcomes.
**Your Impact:**
+ Lead the charge in driving our analytics strategy, delivering high-impact insights that shape key decisions. You will play a pivotal role in converting raw data into actionable insights, empowering teams to drive business growth, foster innovation, and maintain a competitive edge in the marketplace.
**About You:**
+ Master's Degree in Computer Science, Statistics, Mathematics, Information Systems, or a related technical field.
+ 10+ years of leadership experience in data and analytics, including a track record of building and scaling high-performing data teams and cloud-based data platforms, while modeling leadership principles.
+ Deep expertise in working with large, complex datasets, predictive analytics, machine learning, and advanced analytical tools to extract actionable insights.
+ Experience leading the development of a robust and scalable data platform that can support the organization's growing data needs.
+ Exceptional ability to translate technical concepts into actionable business insights and coordinate cross-functionally with key stakeholders and effectively communicate complex data insights to technical and non-technical audiences, including C-suite.
+ Experience in financial services or fintech preferred, with a solid understanding of structured and unstructured data analytics.
**Even Better:**
+ Experience in the Fintech lending space.
**Where:**
+ This role will be based in the US.
+ While you'll enjoy the flexibility of remote work, we also love to see our Earnies face-to-face! We ask you to join us at our Oakland office for 3 consecutive days a month for team collaboration and some fun. It's a chance to connect, share ideas, and maybe even grab some coffee together!
#LI-EG1
#LI-Remote
A little about our pay philosophy: We take pride in compensating our employees fairly and equitably. We are showcasing a range of your potential base salary based on the roles location. The successful candidate's starting pay will also be determined based on job-related qualifications, internal compensation, candidate location and budget. This range may be modified in the future.
Pay Range
$252,000-$15,000 USD
**Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits, including:**
+ Health, Dental, & Vision benefits plus savings plans
+ Mac computers + work-from-home stipend to set up your home office
+ Monthly internet and phone reimbursement
+ Employee Stock Purchase Plan
+ Restricted Stock Units (RSUs)
+ 401(k) plan to help you save for retirement plus a company match
+ Robust tuition reimbursement program
+ 1,000 travel perk on each Earnie-versary to anywhere in the world
+ Competitive days of annual PTO
+ Competitive parental leave
**What Makes an Earnie:**
At Earnest, our people bring our cultural principles to life. These principles define how we work, how we win, and what we expect of ourselves and each other:
+ **Every Second Counts** : Speed is our competitive advantage. Our customers need better solutions, and the faster we execute, the greater our chance of success.
+ **Choose To Do Hard Things** : We win by tackling the hard things that others avoid, fueled by grit and resilience.
+ **Pursue Excellence** : Great companies, teams, and individuals never settle and are proud of the work that they do. What's good enough today won't be good enough tomorrow. Excellence isn't a destination; it's a mindset of continuous improvement.
+ **Lead Together** : Our success comes from how we work together. Leadership is not about titles-it is about action. We take ownership, drive results, and move forward as a team.
+ **Don't Take Yourself Too Seriously** : We take our work seriously, not ourselves. The stakes are high, but a sense of humor keeps us grounded, creative, and resilient.
**At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.**
_Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance._
Senior Specialist, Data Analytics
Posted today
Job Viewed
Job Description
The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Analytics applies business process knowledge and data analytics to develop, recommend and communicate timely, accurate, relevant and actionable insights to support business decisions and objectives.
**_Responsibilities_**
+ Uses knowledge of business and data to discover and/or anticipate problems or opportunities where data can be leveraged to address the need.
+ Asks probing questions to translate business needs in order to build and design reporting solutions (metric management, dashboards, enterprise performance management).
+ Applies data visualization, descriptive and summary statistical techniques for discovery and timely insights (data exploration, ad-hoc queries, and analysis).
+ Interprets results of analyses, identifies trends and issues (forecasting), and develops alternatives to support business objectives.
+ Applies data aggregation, descriptive analysis and data presentation techniques and tools to communicate complex findings and recommendations to influence others to take action.
+ Demonstrates ability to clearly and concisely communicate complex information to a variety of audiences and mediums.
**_Qualifications_**
+ 2-4 years of experience, preferred
+ Bachelor's degree in related field, or equivalent work experience, preferred
+ Knowledge of SQL
+ Knowledge of Alteryx and Tableau, preferred
**_What is expected of you and others at this level_**
+ Applies working knowledge in the application of concepts, principles and technical capabilities to perform varied tasks
+ Works on projects of moderate scope and complexity Identified possible solutions to a variety technical problems and takes action to resolve
+ Applies judgment within defined parameters
+ Receives general guidance and may receive more detailed instruction on new projects
+ Work reviewed for sound reasoning and accuracy
+ Works cross-functionally with business stakeholders to clarify requirements and deliver iteratively analytics solutions
**Anticipated salary range:** $67,500 - 96,400
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with myFlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 9/14/2025 *if interested in opportunity, please submit application as soon as possible.
_The hourly range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity._
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (
Environmental Data Analytics Discipline Leader

Posted today
Job Viewed
Job Description
**Requisition ID:**
42013BR
**Business Unit:**
TSU
**Job Description:**
We are currently seeking a Data Analytics Discipline Leader who will play a crucial role in leveraging data analytics to enhance a firm's capabilities in environmental services. This position involves working across multiple technical practice areas to support marketing and business development initiatives related to environmental data analytics. The leader collaborates with discipline leaders, subject matter experts (SMEs), and the environmental data analytics group to gather ideas and assess needs for data analytics. They coordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, and technicians to design and implement effective data analytics solutions. Additionally, the leader is responsible for developing processes to evaluate ideas and initiatives within Business Technology aimed at developing analytics tools and technologies.
The Data Analytics Discipline Leader also manages intellectual property (IP) and research and development (R&D) investments by reviewing current data analytics projects, identifying IP for protection, and prioritizing R&D investments. They work to grow a team of data analytics practitioners who have the desire or aptitude to develop data analytics skills. The leader establishes relationships and processes for evaluating ideas and initiatives, ensuring that the firm stays ahead of competitors by continuously improving data management and analysis capabilities. This role is essential for navigating the competitive landscape and meeting the growing demands for advanced data analytics solutions in the environmental sector.
As a member of this team, you would contribute to CDM Smith's mission by:
- Conduct evaluations of available data analytics technologies and platforms to analyze a wide range of environmental data across various applications (e.g., water quality assessments, remedial investigations, remedial actions, and operations and maintenance of treatment systems).
- Assist with the technical sales, design, and delivery of data analytics solutions tailored for environmental applications.
- Collaborate with local, national, and international technical teams in the fields of business technology and data analytics.
- Work across multiple technical practice areas to leverage data analytics research and development activities, thereby expanding and enhancing the firm's capabilities in environmental services.
- Support marketing and business development initiatives related to environmental data analytics.
- Collaborate and compile ideas: Engage with discipline leaders, subject matter experts (SMEs), and the environmental data analytics group to gather ideas and assess needs for data analytics.
- Coordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, and technicians to design and implement effective data analytics solutions.
- Establish processes: Develop processes to evaluate ideas and initiatives within Business Technology aimed at developing analytics tools and technologies.
- Manage intellectual property (IP) and research and development (R&D) investments: Review current data analytics projects, identify IP for protection, and prioritize R&D investments.
- Work with and grow data analytics practitioners who have the desire or aptitude to develop data analytics skills.
- Navigate the competitive landscape and meet the growing demand for advanced data analytics solutions in the environmental sector.
- Market engagement: Identify conferences, working groups, and other activities to enhance technical visibility and promote our capabilities to clients.
- Track business opportunities and clients: Identify and monitor business opportunities and client relationships for analytics.
**Job Title:**
Environmental Data Analytics Discipline Leader
**Group:**
ESO
**Employment Type:**
Regular
**Minimum Qualifications:**
Bachelor's degree. 7 years of related experience. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands. Equivalent additional directly related experience will be considered in lieu of a degree.
**Preferred Qualifications:**
- Environmental Expertise: Bachelor's degree in civil, environmental, chemical engineering, science or related discipline. Professional engineering (PE) license or registration as a Licensed Professional Geologist or professional scientist registration/certification or Master's degree in science or related discipline. Must have extensive understanding of environmental analytics. A degree in computer science or programing with environmental experience is also acceptable.
- Programming Proficiency: Proficient in programming languages such as Python or R.
- Software Development Experience: Experience in developing software solutions, dashboards, and other analytics tools.
- IP Management: Experience in managing intellectual property and options for doing so.
- Educational Interest: An interest in teaching and developing education and advancement opportunities for mid- and junior-level staff.
- Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.
- 10 years of related experience.
**EEO Statement:**
We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. CDM Smith is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, pregnancy related conditions, childbirth and related medical conditions, sexual orientation, gender identity or gender expression), national origin, age, marital status, disability, veteran status, citizenship status, genetic information or any other characteristic protected by applicable law.
**Why CDM Smith?:**
Check out this video and find out why our team loves to work here! ( Us! CDM Smith - where amazing career journeys unfold.**
Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it's a priority that the company takes good care of you and your family.
Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world.
**Job Site Location:**
United States - Nationwide
**Agency Disclaimer:**
All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee.
**Amount of Travel Required:**
20%
**Assignment Category:**
Fulltime-Regular
**Visa Sponsorship Available:**
No - We will not support sponsorship, i.e. H-1B or TN Visas for this position
**Skills and Abilities:**
Strong knowledge of corporate governance practices, organization design principles, accounting principles, finance, supply chain management, and organization management. Excellent written and oral communication skills. Ability to understand highly complex technical, professional and business materials.
**Background Check and Drug Testing Information:**
CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as "CDM Smith") reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.
**Pay Range Minimum:**
$90,605
**Pay Range Maximum:**
$158,579
**Additional Compensation:**
All bonuses at CDM Smith are discretionary and may or may not apply to this position.
**Work Location Options:**
Hybrid Work Options may be considered for successful candidate.
**Driver's License Requirements:**
An appropriate and valid driver's license is required.
**Massachusetts Applicants:**
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Environmental Data Analytics Discipline Leader

Posted today
Job Viewed
Job Description
**Requisition ID:**
42013BR
**Business Unit:**
TSU
**Job Description:**
We are currently seeking a Data Analytics Discipline Leader who will play a crucial role in leveraging data analytics to enhance a firm's capabilities in environmental services. This position involves working across multiple technical practice areas to support marketing and business development initiatives related to environmental data analytics. The leader collaborates with discipline leaders, subject matter experts (SMEs), and the environmental data analytics group to gather ideas and assess needs for data analytics. They coordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, and technicians to design and implement effective data analytics solutions. Additionally, the leader is responsible for developing processes to evaluate ideas and initiatives within Business Technology aimed at developing analytics tools and technologies.
The Data Analytics Discipline Leader also manages intellectual property (IP) and research and development (R&D) investments by reviewing current data analytics projects, identifying IP for protection, and prioritizing R&D investments. They work to grow a team of data analytics practitioners who have the desire or aptitude to develop data analytics skills. The leader establishes relationships and processes for evaluating ideas and initiatives, ensuring that the firm stays ahead of competitors by continuously improving data management and analysis capabilities. This role is essential for navigating the competitive landscape and meeting the growing demands for advanced data analytics solutions in the environmental sector.
As a member of this team, you would contribute to CDM Smith's mission by:
- Conduct evaluations of available data analytics technologies and platforms to analyze a wide range of environmental data across various applications (e.g., water quality assessments, remedial investigations, remedial actions, and operations and maintenance of treatment systems).
- Assist with the technical sales, design, and delivery of data analytics solutions tailored for environmental applications.
- Collaborate with local, national, and international technical teams in the fields of business technology and data analytics.
- Work across multiple technical practice areas to leverage data analytics research and development activities, thereby expanding and enhancing the firm's capabilities in environmental services.
- Support marketing and business development initiatives related to environmental data analytics.
- Collaborate and compile ideas: Engage with discipline leaders, subject matter experts (SMEs), and the environmental data analytics group to gather ideas and assess needs for data analytics.
- Coordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, and technicians to design and implement effective data analytics solutions.
- Establish processes: Develop processes to evaluate ideas and initiatives within Business Technology aimed at developing analytics tools and technologies.
- Manage intellectual property (IP) and research and development (R&D) investments: Review current data analytics projects, identify IP for protection, and prioritize R&D investments.
- Work with and grow data analytics practitioners who have the desire or aptitude to develop data analytics skills.
- Navigate the competitive landscape and meet the growing demand for advanced data analytics solutions in the environmental sector.
- Market engagement: Identify conferences, working groups, and other activities to enhance technical visibility and promote our capabilities to clients.
- Track business opportunities and clients: Identify and monitor business opportunities and client relationships for analytics.
**Job Title:**
Environmental Data Analytics Discipline Leader
**Group:**
ESO
**Employment Type:**
Regular
**Minimum Qualifications:**
Bachelor's degree. 7 years of related experience. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands. Equivalent additional directly related experience will be considered in lieu of a degree.
**Preferred Qualifications:**
- Environmental Expertise: Bachelor's degree in civil, environmental, chemical engineering, science or related discipline. Professional engineering (PE) license or registration as a Licensed Professional Geologist or professional scientist registration/certification or Master's degree in science or related discipline. Must have extensive understanding of environmental analytics. A degree in computer science or programing with environmental experience is also acceptable.
- Programming Proficiency: Proficient in programming languages such as Python or R.
- Software Development Experience: Experience in developing software solutions, dashboards, and other analytics tools.
- IP Management: Experience in managing intellectual property and options for doing so.
- Educational Interest: An interest in teaching and developing education and advancement opportunities for mid- and junior-level staff.
- Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.
- 10 years of related experience.
**EEO Statement:**
We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. CDM Smith is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, pregnancy related conditions, childbirth and related medical conditions, sexual orientation, gender identity or gender expression), national origin, age, marital status, disability, veteran status, citizenship status, genetic information or any other characteristic protected by applicable law.
**Why CDM Smith?:**
Check out this video and find out why our team loves to work here! ( Us! CDM Smith - where amazing career journeys unfold.**
Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it's a priority that the company takes good care of you and your family.
Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world.
**Job Site Location:**
United States - Nationwide
**Agency Disclaimer:**
All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee.
**Amount of Travel Required:**
20%
**Assignment Category:**
Fulltime-Regular
**Visa Sponsorship Available:**
No - We will not support sponsorship, i.e. H-1B or TN Visas for this position
**Skills and Abilities:**
Strong knowledge of corporate governance practices, organization design principles, accounting principles, finance, supply chain management, and organization management. Excellent written and oral communication skills. Ability to understand highly complex technical, professional and business materials.
**Background Check and Drug Testing Information:**
CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as "CDM Smith") reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.
**Pay Range Minimum:**
$90,605
**Pay Range Maximum:**
$158,579
**Additional Compensation:**
All bonuses at CDM Smith are discretionary and may or may not apply to this position.
**Work Location Options:**
Hybrid Work Options may be considered for successful candidate.
**Driver's License Requirements:**
An appropriate and valid driver's license is required.
**Massachusetts Applicants:**
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Data Scientist, Analytics
Posted 1 day ago
Job Viewed
Job Description
**Summary:** Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist, Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 6. Telecommuting is permitted from anywhere in the United States. **Minimum Qualifications:** Minimum Qualifications: 7. Requires Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field and 24 months of experience in the job offered or in a data analytics-related position. Foreign degree equivalent accepted 8. Requires 24 months of experience in the following: 9. 1. Performing quantitative analysis, including data mining on highly complex data sets 10. 2. Data querying languages, including SQL 11. 3. Scripting languages, including Python 12. 4. Statistical or mathematical software, including R, SAS, or Matlab 13. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting 14. 6. Machine learning techniques 15. 7. ETL (Extract, Transform, Load) processes 16. 8. Relational databases 17. 9. Large-scale data processing infrastructures using distributed systems and 18. 10. Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics. **Public Compensation:** $189,953/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Data Scientist, Analytics
Posted today
Job Viewed
Job Description
Data Scientist, Analytics at Meta in Boise, Idaho, United States Job Description Summary: Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click 'Apply to Job' online on this web page. Required Skills: Data Scientist, Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 6. Telecommuting is permitted from anywhere in the United States. Minimum Qualifications: Minimum Qualifications: 7. Requires Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field and 24 months of experience in the job offered or in a data analytics-related position. Foreign degree equivalent accepted 8. Requires 24 months of experience in the following: 9. 1. Performing quantitative analysis, including data mining on highly complex data sets 10. 2. Data querying languages, including SQL 11. 3. Scripting languages, including Python 12. 4. Statistical or mathematical software, including R, SAS, or Matlab 13. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting 14. 6. Machine learning techniques 15. 7. ETL (Extract, Transform, Load) processes 16. 8. Relational databases 17. 9. Large-scale data processing infrastructures using distributed systems and 18. 10. Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics. Public Compensation: $189,953/year to $196,900/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at . To view full details and how to apply, please login or create a Job Seeker account
Data Scientist, Analytics

Posted today
Job Viewed
Job Description
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist, Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
6. Telecommuting is permitted from anywhere in the United States.
**Minimum Qualifications:**
Minimum Qualifications:
7. Requires Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field and 24 months of experience in the job offered or in a data analytics-related position. Foreign degree equivalent accepted
8. Requires 24 months of experience in the following:
9. 1. Performing quantitative analysis, including data mining on highly complex data sets
10. 2. Data querying languages, including SQL
11. 3. Scripting languages, including Python
12. 4. Statistical or mathematical software, including R, SAS, or Matlab
13. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting
14. 6. Machine learning techniques
15. 7. ETL (Extract, Transform, Load) processes
16. 8. Relational databases
17. 9. Large-scale data processing infrastructures using distributed systems and
18. 10. Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.
**Public Compensation:**
$189,953/year to $196,900/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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Center of Excellence Data & Analytics Lead

Posted today
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**What You'll Be Doing**
Cadmus' Technology Solutions Division is seeking an extraordinary technologist to be our Data & Analytics Center of Excellence Lead with a storied history in the tech industry. As the Data & Analytics CoE Lead, you will define and execute the technical vision for TSD's data management, engineering, and visualization services. This high-impact leadership role combines thought leadership, technical expertise, and business development. You will lead a growing practice, provide technical oversight, craft cutting-edge solutions, and build partnerships while ensuring delivery excellence across engagements.
**Who We Are**
Cadmus is a technology-empowered strategic consulting firm with more than 1,300 experts dedicated to serving government, commercial, and non-governmental organizations worldwide. We help our clients achieve their goals and drive lasting, impactful changes by leveraging transformative digital solutions and unparalleled expertise across domains.
At Cadmus, we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. As a member of our team, you'll collaborate with leading experts to support our clients across the globe. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and ample opportunities for professional growth.
Join Cadmus. Together, we are strengthening society and the natural world. For more information, visit ( .
**Responsibilities**
**Thought Leadership**
+ Shape the vision and strategy for next-generation data management, engineering, and visualization solutions, incorporating modern patterns such as Data Mesh and
+ Medallion Architecture to drive scalability and agility.
+ Be a recognized thought leader in the data and analytics community by publishing content, speaking at conferences, and representing TSD externally.
**Technical Expertise**
+ Build performant, secure, and scalable data solutions leveraging modern cloud platforms and analytics tools, while adopting advanced data design paradigms like Data Mesh and Medallion Architecture for distributed and layered data systems.
+ Architect and code solutions as a hands-on expert in at least two of the following domains: data management, data engineering, or data visualization.
+ Drive innovation by implementing competitive and cutting-edge technologies and communicating their value to internal and external stakeholders.
**Business Development**
+ Provide thought leadership during pre-sales activities, including designing technical solutions and responding to RFIs and RFPs.
+ Lead technical discussions during capture and proposal processes, developing award-winning solutions to complex problems.
+ Collaborate with sales and marketing teams to articulate TSD's unique value propositions.
**Delivery Excellence**
+ Ensure delivery teams operate with customer-centric and quality-driven best practices.
+ Provide technical oversight to major programs, fostering continuous improvement and horizontal integration of solutions.
**Practice Building**
+ Build and mentor a community of data architects and engineers, fostering a collaborative and innovative culture.
+ Support recruitment, professional development, and knowledge-sharing activities.
**Partnership Management**
+ Establish and maintain strong relationships with technology partners, including AWS, Microsoft, Databricks, and Snowflake.
**Qualifications**
**Required Experience**
+ 15+ years in data & analytics consulting or equivalent industry experience.
+ 10+ years designing large-scale data solutions.
+ 5+ years leading teams of 5-10+ professionals.
+ Demonstrated experience in architecting and delivering at least three cloud-based data analytics solutions.
**Technical Skills**
+ Data warehousing, cloud data platforms, and data visualization tools.
+ Development using tools such as Kafka, NiFi, Pentaho, Airflow, Databricks, Superset, and modern workflow orchestration platforms like Apache Airflow or Prefect.
+ Cloud platforms (AWS, Azure, GCP) and tools like Glue, S3, RDS, Athena, Kinesis, Data Lake, Data Factory, and BigQuery.
+ Spark, Hadoop Ecosystem, Python, and modern ETL tools such as NiFi, Pentaho, or dbt (data build tool).
+ DevSecOps and DataOps practices, including containerization tools like Docker and Kubernetes.
+ Version control tools like Git/GitHub.
**Soft Skills**
+ Strong written and verbal communication skills, including the ability to present effectively in professional settings.
+ Proven ability to manage multiple priorities in a fast-paced environment.
+ Collaborative leader who can inspire and mentor teams.
**Preferred Skills**
+ Experience with analytical modeling, machine learning, and A/B testing.
+ Previous leadership experience in a data-focused Practice or Center of Excellence.
+ An advanced degree in a quantitative discipline (statistics, data science, mathematics) is preferred but not required; equivalent experience will also be considered.
**Additional Information:**
Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.
Based on eligibility and job status, Cadmus offers an excellent benefits package to include: medical, dental, vision, company paid disability and life insurance, 401(k) program, paid time off (PTO), paid holidays, voluntary time off (VTO), tuition reimbursement, adoption assistance program, other optional benefits and various bonus programs.
The minimum starting salary for this position is $185,000. The actual salary may be higher and will be determined by several factors, including relevant work experience, education, skills, and market competitiveness.
We value the critical role safety and health protocols contribute to everyone's success at Cadmus, and work together to align and comply with all federal, state, and local safety and health mandates to ensure a safe and valuable work environment.
Cadmus is an Equal Opportunity Employer and prohibits unlawful discrimination. Cadmus is committed to providing a respectful workplace where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy), sexual orientation (including gender identity and/or expression), national origin, military and veteran status, physical and mental disability, or any other characteristic protected by applicable law.
Learn more about Cadmus by visiting our website at: Locations** _US_
**Posted Date** _4 months ago_ _(3/6/2025 4:07 PM)_
**_Job ID_** _2025-3024_
**_# of Openings_** _1_
**_Category_** _Information Technology_
Procurement Data Analytics and Insights Program Manager

Posted today
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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.
As a Procurement Data Scientist at Micron Technology, you will be responsible for working with the leadership team to manage data and programs including communication and change management. The Procurement Data Scientist will provide direction and guidance for managing data consisting of multiple complex projects to achieve specific business goals and objectives while ensuring balance in allocation of resources. Accurate design and tracking of programs and projects to predict results and outcomes is critical to success. Analysis of data, program and project progress in terms of root cause analysis, pay-back assessment, risk, resources consumption, interdependencies and gaps.
The Procurement Data Scientist will and can be a Project Manager on specific projects that are associated to the Program. Projects may involve AI-related programs, where the Data Scientist will have to define the vision and roadmap for AI-powered products and services, define and implement the AI/ML roadmap, aligning it with overall business goals and objectives and lead the AI projects/use cases from ideation to deployment.
The Procurement Data Scientist will also participate and support audits (both internal/external), he or she is responsible to help coordinate preparation for such audits.
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 1- (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.
Data Scientist - Analytics Specialist
Posted 3 days ago
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Exciting Opportunity: Join Meta Platforms, Inc. (formerly Facebook Inc.) at the forefront of technology that connects people and empowers communities. We are pioneering the transition from 2D screens to immersive experiences in augmented and virtual reality, shaping the future of social technology.
Role Overview: As a Data Scientist in Analytics, you will be instrumental in leveraging large and complex data sets to address a diverse range of analytical challenges. Your expertise will drive strategies for our products, impacting billions of users and millions of businesses.
Your Responsibilities:
- Utilize advanced analytical and statistical methods to extract insights from vast data sets.
- Apply quantitative analysis, experimentation, and data mining techniques to inform product direction.
- Establish and monitor key product metrics to gauge the success of initiatives and uncover trends.
- Identify enhancement opportunities and contribute to product roadmaps through your valuable insights.
- Collaborate with Product, Engineering, and cross-functional teams to drive informed decision-making related to product strategies and investments.
Work Environment: Telecommuting is permitted from anywhere in the United States.
Your Qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or related field.
- 24 months of experience in data analytics or a related field.
- Experience in quantitative analysis and data mining on complex data sets.
- Proficiency in SQL for data querying.
- Knowledge of scripting languages, particularly Python.
- Familiarity with statistical or analytical software such as R, SAS, or Matlab.
- Experience with applied statistics, including A/B testing methodologies.
- Understanding of machine learning techniques and ETL processes.
- Experience working with relational databases and large-scale data processing systems.
- Solid grasp of quantitative analysis techniques including clustering and regression.
Compensation: $189,953/year to $196,900/year plus bonus, equity, and benefits.
Equal Opportunity Statement: Meta is an Equal Employment Opportunity and Affirmative Action employer. We value diversity and do not discriminate based on race, religion, color, national origin, sex (including pregnancy), sexual orientation, gender identity, disability, or other legally protected characteristics.
Please note: Meta may utilize artificial intelligence and machine learning technologies in the recruitment process. We are committed to providing reasonable accommodations for candidates with disabilities. If you require assistance during the application process, please reach out for support.