17,966 Data Scientist jobs in the United States

Location :

San Jose

Employment Type :

Regular

Job Code :

D3699

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Responsibilities

The USDS-Platform and Community Integrity (PaCI) team is missioned to: - Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety, etc. In this team, you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure, and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities: - Build rules, algorithms and machine learning models, to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc. - Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries. - Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.

Qualifications

Minimum Qualifications - Bachelor or degrees above in computer science, statistics, math, internet security or other relevant STEM majors (e.g. finance if applying for financial fraud roles). - Solid data science skills. Proficiency in statistical analytical tools, such as SQL, R and Python. - Familarity with machine learning or social/content online platform analytics. Bonus given to proficiency in modern machine learning applications. - Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

Job Information

(For Pay Transparency)Compensation Description (Annually)

The base salary range for this position in the selected city is $144000 - $329334 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About USDS

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Data Security Statement

This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

USDS Reasonable Accommodation

USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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Your Responsibilities: You will develop data science solutions for challenging engineering and business problems within NOV. You will have the opportunity to develop data driven predictive models that will lay the foundation for our Predictive Maintenance, Condition Based Maintenance, and Optimized Operations. You also have opportunities to research and develop applications in applied artificial intelligence using computer vision, natural language processing (NLP) and large language models (LLM). Working with Big Data infrastructure, Engineering, and Operations, you will develop a scalable and sustainable analytics process. Your Data Science responsibilities will include understanding project needs, data science framing, performing exploratory data analysis (EDA), building, and validating models, and deploying models into production. You will engage in knowledge management and effective solution delivery. You will assess risk, benefit, and cost of pre-existing and suggested engineering practices. Your Qualifications: Are you a motivated self-starter with the dedication to work independently and as part of a team, and an ability to multi-task? Do you have the flexibility and adaptability, to make decisions quickly? Do you thrive in dynamic environments with multiple changing priorities, where prioritization and time management are necessary tools? You may be a good fit for our team, if you also meet the following requirements: You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry. Your strong academic qualifications include an advanced degree (master's or Ph.D.) in a relevant STEM field (Computer Science, Engineering, Mathematics, Statistics, etc.); preferably a PhD. Programming experience with Python is a must, and additional programming experience with PySpark, MATLAB, Java, C#, or R is a plus. Modeling experience with core data science packages (Pandas, Scikit-learn, Keras, TensorFlow, PyTorch, etc.) Modeling experience with traditional machine learning and deep learning techniques (CNN, RNNs, LSTMs, GANs, Transformers, etc.) Experience with signal processing on industrial equipment (rotating machinery, reciprocating machinery, hydraulic systems), data driven reliability, and operation efficiency is a plus. Having experience with computer vision, natural language processing (NLP) or large language model (LLM) is a plus. Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have a proven history of conducting research and producing viable solutions for engineering problems. You are skilled in problem analysis and resolution, impact verification, troubleshooting, coaching, facilitation experience, and diagnosing problems across multiple disciplines. You excel in organizational and analytical skills; you're able to focus and deliver precise results, yet understand impacts across multiple projects and systems. You communicate proficiently in English and have good interpersonal skills, with the ability to build trust and integrity in your relationships with our business partners. Please apply for the position here #J-18808-Ljbffr

General Summary:

The Data Scientist at the Stone Living Lab (SLL), UMass Boston is responsible for curating, managing and generating ways to make SLL data publicly accessible in a way that obeys FAIR (Findability, Accessibility, Interoperability, and Reuse) best practices. The Data Scientist will work with PIs, partners, and students to create, organize and maintain SLL data management processes as well as generate public-facing products using SLL data. This role will be housed within the School for the Environment and will work on SLL projects.

The Data Scientist will play a crucial role in preparing SLL data for major repositories (e.g. the Environmental Data Repository ( DataONE ( PANGAEA Data Publisher for Earth & Environmental Science ( NOAA National Centers for Environmental Information (NCEI), IOOS/NERACOOS), to provide long-term public availability, robust metadata generation, and open APIs. They will work collaboratively with diverse stakeholders, including community organizations, government agencies, academic partners and internal UMB partners to ensure that SLL's data is managed to the highest standards and communicated widely and equitably to support climate resilience.

Examples of Duties:

1. Data Management and Infrastructure

• Design and implement robust data pipelines for ingestion, validation, transformation, and storage that follow best practices for the international data community.
• Develop or maintain database systems (e.g. PostgreSQL, cloud storage, APIs) to ensure efficient access and querying.
• Work with scientists to ensure standardization and interoperability across different projects (e.g., consistent formats, metadata standards).
• Automate data collection and cleaning processes from instruments, sensors, or external sources.
• Advise on data privacy and ethical considerations, especially for public-facing platforms.

2. Data Curation and Quality Control

• Work with scientists (for domain specifics) to perform data validation and anomaly detection to ensure integrity and consistency.
• Work with scientists to create and maintain metadata documentation for datasets (descriptions, provenance, usage guidelines).
• Create archiving protocols and pipelines for future use.
• Manage version control of datasets and data schemas.
• Establish best practices for data governance, archiving, and FAIR principles (Findable, Accessible, Interoperable, Reusable).
• Maintain clear, accessible documentation for datasets, codebases, and analytical methods.
• Create pipelines between SLL data and the Ocean Biogeographic Information Service (OBIS) and the Global Ocean Observing System (GOOS) for international representation of SLL data.

3. Data Analysis and Interpretation

• Assist researchers to analyze datasets to support scientific objectives and extract insights from ecological, biological, or environmental questions.
• (Depending on domain knowledge) Use statistical and machine learning techniques where appropriate to model trends or forecast outcomes.

4. Public-Facing Information and App Development Support

• Work with scientists and the education team to build data-driven applications, dashboards, or interactive tools for the public, stakeholders, or decision-makers.
• Work with real-time data streams to establish data pipelines that quality control data before providing to the public.
• Translate research outputs into visualizations, maps, or summaries accessible to nontechnical audiences.
• (Depending on experience) Contribute to API design to ensure external users can access selected data securely and intuitively.

5. Cross-Disciplinary Collaboration

• Serve as a bridge between scientists, the education team, and external partners.
• Help define data needs for different users (researchers, decision-makers, public).
• Train lab members in data literacy and reproducible science workflows (e.g., R/Python scripting, GitHub).

6. Documentation and Reporting

• Contribute to scientific publications, reports, and grant proposals by providing data summaries and figures.
• Assist in tracking data contributions to performance metrics or impact assessments (e.g. number of downloads, reuse in policy tools).

Qualifications:

C. Minimum Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience with data science or machine learning in a professional setting.
• Experience working with real-world data, including data cleaning, transformation, and exploratory analysis.
• Familiarity with statistical analysis.
• Strong understanding of climate change impacts and environmental/climate justice.
• Strong communication and organizational skills.
• Strong problem-solving skills and ability to work independently and with diverse stakeholders.
• Excellent written and verbal communications skills.

D. Preferred Qualifications:

• Advanced degree (MSc or PhD) in a quantitative discipline.
• Experience contributing to or maintaining open-source projects.
• Demonstrated ability to design and build ML pipelines and APIs for scalable deployment.
• Familiarity with machine learning techniques.
• Familiarity with Ecological Meta-Language (EML).
• Experience with R Shiny, Python or others.
• Knowledge of web content management systems interfacing with relational database systems using common programming languages.
• Familiarity with major data hosting platforms for ecological or other environmental data streams (e.g., Data One, OBIS, EDI, or others).
• Experience with tabular, imagery, raster, video, and other data formats.
• Publications or technical writing in machine learning or data science.

Application Instructions:

Please apply online with your resume, cover letter and list of three professional references.

Review of candidates will begin following the application closing date.

Only Internal candidates in the Professional Staff Bargaining Unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period.

Salary Ranges for the appropriate Pay Grade can be found at the following link:

Grade: 31

Salary Ranges

This is an exempt union position. This is a grant funded position with a current end date of May 31, 2026, subject to renewal contingent on funding and university needs.

UMass Boston is committed to the full inclusion of all qualified individuals. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact or .

About the job Data Scientist / Senior Data Scientist

Quantile Health AI-Powered Insights for Life Science

Quantile Health is a New York-based, seed-stage AI startup on a mission to expand patient access to life-changing medicines while cutting commercial costs for drug innovators

Role: AI & Data Science LLMs & Healthcare Insights

We're looking for a data-driven problem solver to leverage large language models (LLMs) and transform unstructured data into data ontologies and actionable insights that drive drug launches and access strategies. You'll work at the intersection of AI, data science, and healthcare, helping biotech and pharma companies navigate patient access barriers and optimize commercial decisions.

What You'll Do

• Design and implement agentic LLM workflows from the ground up to drive impactful business outcome
• Build and optimize data pipelines for processing structured & unstructured data.
• Select, evaluate, and fine-tune LLMs for key business applications
• Ensure data integrity, accuracy, and usability for analytics & decision-making
• Collaborate with engineering teams to shape data infrastructure & model development

• A strong conceptual thinker who thrives on turning complex, ambiguous business challenges into clear data problems - especially when there's no obvious solution.
• Passionate about LLMs and their real-world applications, with a pragmatic, impact-driven mindset - focused on solving the right problems and delivering meaningful results over perfect models.
• PhD in a quantitative field (CS, Data Science, Computational Biology, Stats, etc.) OR Bachelor/Master + 2+ years of experience in finance, biotech, or tech startup.
• Strong Python skills (SQL is a plus).
• Experience in prompt engineering, statistical modeling, and advanced analytics.
• Hands-on experience with large datasets & unstructured data transformation.

Requisition Number: 23105

Required Travel: 0 - 10%

Employment Type: Full Time/Salaried/Exempt

Anticipated Salary Range: $67,147.00 - $100,000.00

Security Clearance: Secret

Level of Experience: Mid HI

This opportunity resides with All-Domain Operations (ADO), a business group within HII's Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations.

HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe.

Meet HII's Mission Technologies Division

Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you.

To learn more about Mission Technologies, click here for a short video:

Summary:

HII Mission Technologies has been selected as one of Military.com's "Top 25 Employers for Veterans in 2024" and we are a Forbes Best Large Employer for 2021-2024! Come join our growing team today!

HII Mission Technologies is seeking a Data Scientist to join our team in Honolulu, Hawaii. This role focuses on analyzing unstructured and semi-structured data, developing machine learning models, and leveraging modern analytics technologies to deliver strategic solutions. The Data Scientist will apply descriptive, predictive, and prescriptive analytics to support business decision-making and operational efficiency.

#LI-SF1

What You Will Do:

• Analyze unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification, and complex event processing (CEP).

• Apply analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.

• Develop machine learning models to predict behaviors and optimize segmentation.

• Manage, architect, and analyze big data to build insights and data-driven models.

• Evaluate model design and performance through champion/challenger development.

• Use statistical practices to identify trends, risks, and opportunities for predictive insights.

• Build data structures and tools using Python, R, Spark, and other modern technologies.

• Transform data models, charts, and tables into actionable insights for stakeholders.

• Act as the point of contact between data analysts/data engineers and analytics leads.

• Monitor industry trends, best practices, and technology advancements in financial services data modeling.

• Identify areas for improvement in analytics processes and develop mitigation strategies for potential risks.

• The data scientist operates in a data-driven environment, requiring collaboration with analytics teams, technical experts, and business leaders to support strategic decision-making.

What We're Looking For:

• 0 years experience with Bachelors in related field; or High School Diploma or equivalent and 4 years relevant experience.

• Strong knowledge of statistical modeling, data mining, and machine learning techniques.

• Familiarity with modern data science tools, including Python, R, Spark.

• Ability to interpret and present complex data to business leaders and stakeholders.

• Active DoD Secret Clearance.

HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.

Why HII

We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.

Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career.

Together we are working to ensure a future where everyone can be free and thrive.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Do You Need Assistance?

If you need a reasonable accommodation for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1- for assistance. Press #3 for HII Mission Technologies.

• Data Science
• Work closely with our scientists to understand complex, biological and healthcare datasets and apply this domain-specific knowledge to transform raw data into suitable formats for downstream analysis.
• Clean, preprocess, and curate diverse biological datasets, ensuring data quality and integrity.
• Engineer appropriate datasets to support the development and deployment of data products, some of which are based on machine / deep learning models.
• Engineering
• Build high quality custom software to support any activities across the various technology groups.
• Communication
• Communicate insights, results, and analyses to stakeholders using advanced visualization techniques.
• Research
• Contribute to interdisciplinary discussions to guide experimental design and data collection.

• A 4-year degree in a quantitative field such as statistics, math, computer science, physics, or engineering from an accredited college or university.
• 4+ years proven experience in a data science or quantitative analysis role.
• Demonstrable proficiency in handling and processing big data sets from various sources, including, SQL, relational DBMS and cloud services.
• High proficiency in Python. Solid experience with other languages, such as R and Julia is a bonus.
• Extensive experience in applied statistics and machine/deep learning methods.
• The ability to speak and write fluent English.
• Experience with healthcare data and the regulatory environment associated with the application of AI is a bonus.

Requisition Number: 23033

Required Travel: 0 - 10%

Employment Type: Full Time/Salaried/Exempt

Anticipated Salary Range: $109,269.00 - $140,000.00

Security Clearance: Secret

Level of Experience: Senior HI

This opportunity resides with All-Domain Operations (ADO), a business group within HII's Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations.

HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe.

Meet HII's Mission Technologies Division

Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you.

To learn more about Mission Technologies, click here for a short video:

Summary:

HII Mission Technologies has been selected as one of Military.com's "Top 25 Employers for Veterans in 2024" and we are a Forbes Best Large Employer for 2021-2024!

Are you ready to take your career to the next level? We are seeking talented and motivated Data Scientists to join our team!

HII-Mission Technologies is seeking an experienced and innovative Data Scientist to join our team in Honolulu, Hawaii. The successful candidate will be responsible for the application of complex and advanced scientific theories, concepts, principles, and processes. Recognized within the company and the technical community as an authority in one or more scientific disciplines, you will play a critical role in developing and implementing cutting-edge solutions to address complex technical and business challenges.

#LI-SF1

What You Will Do:

As a leader in your field, you will contribute to the planning, oversight, execution, and evaluation of multiple advanced technical and scientific projects. You will work collaboratively with senior personnel, program managers, and external organizations, while maintaining a strong liaison with staff and customers.

Key Responsibilities

• Research & Development: Develop advanced concepts, techniques, and standards to address technical challenges and drive innovation.

• Thought Leadership: Publish professional and scientific papers and patents to establish and maintain thought leadership in the technical community.

• Application Development: Create and implement new applications based on professional principles and theories, enhancing the organization's capabilities.

• Collaboration: Partner with cross-functional teams to integrate innovative data solutions into broader organizational strategies.

• Problem Solving: Utilize advanced data analytics, machine learning, and statistical methods to deliver actionable insights for complex organizational challenges.

• Technology Implementation: Advocate for and implement state-of-the-art technologies to maintain the organization's competitive edge in data science.

• Project Oversight: Manage the planning and execution of multiple projects, ensuring alignment with organizational goals and stakeholder needs.

• Compliance & Ethics: Ensure adherence to ethical data handling practices and compliance with relevant data governance frameworks.

What We're Looking For:

• 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.

• Exceptional problem-solving skills and the ability to derive insights from complex datasets.

• Excellent written and verbal communication skills, with experience presenting to technical audiences.

• Active DoD Secret level clearance

HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.

Why HII

We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.

Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career.

Together we are working to ensure a future where everyone can be free and thrive.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Do You Need Assistance?

If you need a reasonable accommodation for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1- for assistance. Press #3 for HII Mission Technologies.

Job DescriptionJob DescriptionBenefits:

• 401(k) matching
• Bonus based on performance
• Competitive salary
• Dental insurance
• Health insurance
• Opportunity for advancement
• Paid time off
• Training & development
• Vision insurance

Knowli Data Science is looking for experienced data scientists to join our nationally growing team. The ideal candidate should have a degree in mathematics, computer science, physics, statistics, quantitative social science, or similar field and at least 3 years of experience working in data analytics, data visualization, or data science roles. Familiarity with programming for data analysis is required; preferably, SQL, Python, and R. Experience with machine learning, data-modeling, and data-visualization software such as TensorFlow, Tableau, PowerBI, or similar software programs is also required. Experience with Medicaid/Medicare and health care data is desirable. Requires the ability to work independently and with a diverse team. A hybrid work environment is possible, based on client needs.

Flexible work from home options available.

Data Scientist Job Responsibilities

As a Data Scientist your role involves turning complex datasets into actionable insights that drive organizational success. Key responsibilities include:
- Data Collection and Preparation: Gathering data from various sources, cleaning, and preprocessing it for analysis.
- Exploratory Data Analysis (EDA): Identifying patterns, trends, and correlations within datasets to uncover actionable insights.
- Machine Learning Model Development: Building, testing, and deploying predictive models to solve business problems, such as customer segmentation, predictive analytics, or fraud detection.
- Data Visualization and Reporting: Creating dashboards, reports, and visualizations to present findings to stakeholders and support decision-making.
- Collaboration and Communication: Working closely with cross-functional teams, including engineering, marketing, and business stakeholders, to align data solutions with business objectives and communicate insights effectively.
- Staying Up-to-Date with Industry Trends: Continuously updating knowledge of emerging trends, technologies, and methodologies in data science to optimize business processes and predict outcomes.
- Predictive Modeling and Algorithm Development: Designing and deploying machine learning models and algorithms to drive business decisions and strategy.
- Data-Driven Insights: Providing actionable recommendations to stakeholders, enabling data-driven decision-making and business growth.

Overall, You play a critical role in helping the organizations make informed decisions, optimize operations, and predict future trends by extracting meaningful insights from vast amounts of data.