18,640 Data Scientists jobs in the United States

• About the Role: Join our team to transform real-world data into actionable insights and innovative solutions. You will work across the entire data science lifecycle, from understanding complex business challenges to deploying robust models that drive impact.
• What You'll Do:
  • Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling.
  • Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses.
  • Translate complex business questions and challenges into well-defined data science problems and analytical tasks.
  • Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting).
  • Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring.
  • Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions.
  • Iterate on models and approaches based on performance feedback and evolving business requirements.
  • Stay up-to-date with the latest advancements in data science, machine learning, and relevant technologies.

• Demonstrated ability to deal with and process data from real-world sources.
• Experience performing Exploratory Data Analysis (EDA).
• Experience with model development (statistical modeling, machine learning).
• Familiarity with the process of deploying models into production or working alongside teams that do.
• Proven ability to translate business questions into data-driven problems.
• Ability to translate data analysis results and model insights into clear, business-oriented solutions.
• Proficiency in at least one major programming language used in data science (e.g., Python, R).

• Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP).
• Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

• Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).

• Experience in Auto Industry

• Master's degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

• PhD in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

• Original Duration: 48 Months
• Hybrid now, but it can be changed to onsite if corporate requires. 1 day a week now, but it can be changed.

• An INC 5000 company for 10 years
• Corp! Michigan Economic Bright Spots
• Crain's Detroit Business Top Staffing Service Companies in Detroit
• TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
• Best of MichBusiness winner in HR Wizards & Partnerships
• Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
• 101 Best & Brightest Companies to Work for in Michigan

V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquarteerd in Bloomfiled Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company!
Please visit us at to know more .

V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company!
Please visit us at to know more.

Skills Required:

1+ years of experience conducting statistical analysis in a business or academic setting • 1+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.) • Ability to effectively communicate, both verbal and written, across different levels of the organizations • Experience with Excel and PowerPoint

Skills Preferred:

Proficiency in Python for data analysis and model development • Familiar with various modeling methodologies, including economics, econometrics, statistics, and data mining • Have excellent time management skills and be able to handle working on multiple projects at the same time • Be able to make reasonable judgments and conclusions with limited information and resources • Be able to utilize all major modeling techniques as applied to short and long-term volume and price forecasts • Be able to quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality • Be aspirational and curious in technical excellence and innovation • Have a lifetime learning attitude

Experience Required:

1+ years of experience conducting statistical analysis in a business or academic setting • 1+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.)

Experience Preferred:

3+ years of Auto industry related work (used vehicle market experience a plus)

Education Required:

Master's degree in Statistics, Econometrics, Data Science, or related field

V2Soft is an Equal Opportunity Employer (EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
- to view all of our open opportunities and to learn more about our benefits.

V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
- to view all of our open opportunities and to learn more about our benefits.

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!

Position duties and responsibilities include, but are not limited to:

• Drive the entire machine learning (ML) lifecycle, which includes conducting problem framing, data collection, exploratory data analysis, model development, deployment, and performance measurement.

• Extract, prepare and model large, complex data sets.

• Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company.

• Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members.

• Leverage geospatial data.

• Work with engineering teams to implement and improve machine learning pipelines and production-ready models.

• Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week. No additional national or international travel is anticipated.

Skill requirements:

• (1) Leading requirements gathering, problem definition, exploratory data analysis, and Machine Learning modeling and deployment to solve operational issues;

• (2) Applying Statistical and Machine Learning modeling using Hypothesis Testing, Bayesian Modeling, Generalized Linear Models, Decision trees, Random Forest, Clustering, and Natural Language Processing;

• (3) Developing Machine Learning model pipelines in Python using Pandas, Matplotlib, Seaborn, Scikit-Learn, and Gensim; and in R using Datatable, Ggplot2, GLM, Caret, BRMS, and CMDStan;

• (4) Working with SQL to extract and explore large scale data to create datasets to augment operations and decision-making;

• (5) Working cross-functionally to develop and deploy Machine Learning Models in production environment; and

• (6) Preparing project documentation to highlight methodologies and recommendations using writeups, graphs, and presentations to streamline and enhance business decision-making.

Experience and education requirements:

PRIMARY REQUIREMENTS: Master's degree in Statistics, Information Management, or related, and 3 years of relevant work experience.

ALTERNATIVE REQUIREMENTS: Bachelor's degree in Statistics, Information Management, or related, and 5 years of relevant work experience.

Additional:

• Location: Bellevue, WA

• This position is eligible for the employee referral program.

• At least 18 years of age

• Legally authorized to work in the United States

Travel :
Travel Required (Yes/No): No

DOT Regulated :
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

How to apply:

• Visit

• Create a candidate profile, and apply to REQ328206.

OTHER: Work hours: 40 hours/week. Washington Pay Range: $183,581.00 to $186,400.00/year.

The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives. And since we are ALL owners, EVERY employee at T-Mobile is eligible for an Annual Stock Grant. For information about T-Mobile's amazing benefits, check out

Candidate's pay will be based on various factors, such as work location, qualifications, and experience. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out .

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing or calling 1- . Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

• An INC 5000 company for 10 years
• Corp! Michigan Economic Bright Spots
• Crain's Detroit Business Top Staffing Service Companies in Detroit
• TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
• Best of MichBusiness winner in HR Wizards & Partnerships
• Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
• 101 Best & Brightest Companies to Work for in Michigan

• Develop and maintain models to quantify the relationship between auction prices and key used vehicle residual value drivers
• Provide used vehicle residual value forecasting to support key business processes
• Quantify and decompose used vehicle residual value gaps between brands and vehicles
• Provide data analysis visualization and prepare presentation materials to share with management and business customers
• Apply and integrate latest analytical tools and data sources to more accurately model used vehicle prices
• Execute both descriptive and inferential ad hoc requests for management and business customers in a timely manner
• Analyze and interpret model results to identify key trends and insights

• 1 year of experience conducting statistical analysis in a business or academic setting
• 1 year of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.)
• Ability to effectively communicate, both verbal and written, across different levels of the organizations
• Experience with Excel and PowerPoint

• Proficiency in Python for data analysis and model development
• Familiar with various modeling methodologies, including economics, econometrics, statistics, and data mining
• Excellent time management skills and ability to handle working on multiple projects at the same time
• Ability to make reasonable judgments and conclusions with limited information and resources
• Utilize all major modeling techniques as applied to short and long-term volume and price forecasts
• Quickly convert a real business requirement into a solvable modeling problem, sort out relevant information, and judge the solution against business reality
• Aspirational and curious in technical excellence and innovation
• Have a lifetime learning attitude

• 1 year of experience conducting statistical analysis in a business or academic setting
• 1 year of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, BigQuery, Alteryx, etc.) AND Visualization skills/tools (e.g. Qlik Sense, Tableau, Power BI, etc.)

• 3 years of Auto industry related work (used vehicle market experience a plus)

• Master's degree in Statistics, Econometrics, Data Science, or related field

• Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts.
• That's where Global Data Insight & Analytics makes an impact.
• We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways.
• Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
• In this position.company team, part of Sales and Services Data and Analytics (SSDA) department in company's Global Data, Insight and Analytics (GDI&A) organization, is looking for a highly skilled Data Scientist.
• This role will be a member of RAV (Re-Acquired Vehicle) analytics team supporting all stages of RAV analysis from problem formulation, model /analytical framework development, evaluation, to model deployment to help our company and FCSD achieve RAV objectives.
• The FCSA RAV Analytics team applies advanced quantitative methods and systematic econometrics and AI/ML /LLM models to derive insights and solve a wide variety of challenging problems in various area of FCSD: RAV forecast, RAV count/spend monitoring/trend study, RAV root cause study, RAV reduction analytical support/evaluation, quality action effectiveness on RAV, VOR/uptime, early quality detection.through analyzing vast amounts of data including RAV, quality, repair orders, repeat visits, parts order and supply, service, warranty claims, recall.etc.
• The deep-dive and advanced analytics/quantification analysis supported by this role will be instrumental in supporting FCSD's business objectives and transformation through data-driven decision-making.

• Python
• GCP
• SQL
• Data Analysis

• Master's degree in Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field or a combination of education and equivalent work experience
• 3+ years of hands-on experience on a broad range of analytical techniques including forecasting, regression, and AI/ML/LLM methodologies
• Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
• 3+ years of proficient experience in training, evaluating, and fine-tuning a variety of machine learning models, ensuring optimal performance and reliability
• 3+ years of experience and proficient in programming languages such as Python for data manipulation, analysis, and model development
• 3+ years of experience in processing large, high-dimensional structured and unstructured data, including thorough data preprocessing, data cleaning, and feature engineering to prepare datasets for model training and evaluation

• D. in a quantitative field such as Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field
• 3+ experience GCP (Google Cloud Platform): Vertex AI, Big Query, GCS (Google Cloud Storage), Google Cloud SQL, Looker studio
• 3+ year of post-graduate work experience in auto industry involving complex quantitative analytics and modeling
• 5+ years of work experience with Python and SQL
• 5+ years of work experience in big data manipulation, statistical analysis, modeling, optimization, AI/ML/LLM.
• Curious, high level of initiative, detail-oriented and ability to multi-task
• Fast learning in theoretical modeling and coding
• Strong problem formulation and problem solving skills
• Comfortable working in an environment where problems are not always well-defined

• Master's Degree

• Doctorate

• support regional CSM (Customer Satisfaction Model) model framework design/development, model maintenance, model enhancement and model daily monitoring using Looker Studio.
• Support RAV annual count forecast taking into consideration of various factors such as brand, fuel type, launch type, new car sales, and macro environment. in addition to various types of RAV origination.
• Support RAV Root Cause analysis by studying repair order and warranty claim history to derive and identify potential drivers/trend for RAV
• Conduct various deep-dive analysis on RAV vehicles to help identify/detect early indication of RAV and uncover/provide insights to business to prevent/reduce RAV
• Conduct quick turn-around studies to answer frequent/various/urgent business requests by mining, managing, and exploring a variety of data sources and extracting/deriving insights from structured and unstructured data sets that are often very large and high-dimensional
• Explore/apply the most relevant quantitative modeling techniques and tools in statistical analysis, econometrics, operation research/optimization, AI/ML/LLM techniques to a variety of real-world business problems within FCSD focusing on improving RAV and service quality
• Ensure overall quality of the data and solutions throughout the analytics development process
• Maintain and enhance existing quantitative models supporting FCSD daily decisions
• Integrate validation result and visualize analysis/prediction result through visualization tools to provide qualitative/quantitative overview
• Interact/collaborate effectively cross-functionally with a variety of architect, project manager, DE, SE, and other data scientists to test data and model pipeline, validate pipeline output to ensure successful model launch into production environment to maximize business value delivery
• Independently and clearly communicating and presenting/interpreting models and analytical results

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

• We are seeking a talented and driven Data Scientist to join our team.
• In this role, you will be instrumental in transforming real-world data into actionable insights and innovative solutions.
• You will work across the entire data science lifecycle, from understanding complex business challenges to deploying robust models that drive impact.

• Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling.
• Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses.
• Translate complex business questions and challenges into well-defined data science problems and analytical tasks.
• Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting).
• Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring.
• Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions.
• Iterate on models and approaches based on performance feedback and evolving business requirements.
• Stay up to date with the latest advancements in data science, machine learning, and relevant technologies.

• Demonstrated ability to deal with and process data from real-world sources.
• Experience performing Exploratory Data Analysis (EDA).
• Experience with model development (statistical modeling, machine learning).
• Familiarity with the process of deploying models into production or working alongside teams that do.
• Proven ability to translate business questions into data-driven problems.
• Ability to translate data analysis results and model insights into clear, business-oriented solutions.
• Proficiency in at least one major programming language used in data science (e.g., Python, R).

• Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP).
• Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

• Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).

• Experience in Auto Industry

• Master's degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

• PhD in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

• Hybrid now, but it can be changed to onsite if corporate requires. 1 day a week now, but it can be changed.

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match