657 Data Scientist jobs in Washington

• Develop and analyze future vehicle pricing and volume forecasts against business plans and scenarios, providing recommendations for effective decision-making.
• Create compelling visual representations of data, leveraging effective data storytelling and insights to persuade business partners to act on recommendations.
• Collaborate frequently with peers and business partners on diverse data analysis, studies, and projects.
• Continuously seek improved approaches and methodologies to evolve our advisory support as the business navigates an ever-changing industry landscape.
• Utilize advanced modeling and simulation techniques to generate modeling scenarios to support strategic business decisions, optimizing the performance of Ford Business Units
• Apply attribution modeling, statistics, optimization, operation research, machine learning, and other advanced techniques to solve real-world business problems
• Develop analytical methodologies and specify data requirements by translating business phenomena into appropriate mathematical/regression equations
• Use 'outside the box' thinking and modeling to answer difficult questions in an environment with little information and resources

• Masters degree in quantitative field i.e. Statistics / Data Science / Mathematics / Economics / Physics etc.
• 3+ years experience with statistical analysis, data visualization (ex: QlikSense, Tableau, Power BI), data modeling, or optimization.
• Expertise using statistical software (R/Python, etc.), query languages or software, such as Big Query, SQL, Hadoop/Hive, Alteryx along with Microsoft Office programs, especially Excel and PowerPoint.
• Ability to work with the customer to determine the underlying business question / need
• Be able to quickly convert a real business question into a solvable modeling problem, sort out relevant information, and judge the solution against business reality
• Apply business acumen to the problem and solution vs. a solely data-based approach
• Familiarity with Ford's vehicles, attention to detail, time management, willingness to learn, ability to handle multiple projects at a time, excellent communication and data presentation skills
• Enabling Ford to keep competitive advantage in terms of state-of-the-art business modeling and advanced analytical capabilities

• Ph.D. in Statistics, Economics, Applied Mathematics or similar field
• Automotive experience is a plus
• Capability of carrying out independent technical work in close collaboration with business-partners is a plus.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

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.

This position is hybrid. and candidates are required to be onsite four or more days per week.

Visa sponsorship & Relocation is not available for this position.

Strategic Impact and Influence: As a Data Scientist within GDI&A, you will serve as an independent business advisor, providing critical insights and risk assessments that directly inform Ford's long-term business planning and decision-making processes. Your work will influence multi-billion dollar vehicle lines, pricing strategies, and production volumes.

Position Description :

• Develop and analyze future vehicle pricing and volume forecasts against business plans and scenarios, providing recommendations for effective decision-making.

• Create compelling visual representations of data, leveraging effective data storytelling and insights to persuade business partners to act on recommendations.

• Collaborate frequently with peers and business partners on diverse data analysis, studies, and projects.

• Continuously seek improved approaches and methodologies to evolve our advisory support as the business navigates an ever-changing industry landscape.

• Utilize advanced modeling and simulation techniques to generate modeling scenarios to support strategic business decisions, optimizing the performance of Ford Business Units

• Apply attribution modeling, statistics, optimization, operation research, machine learning, and other advanced techniques to solve real-world business problems

• Develop analytical methodologies and specify data requirements by translating business phenomena into appropriate mathematical/regression equations

• Use ‘outside the box’ thinking and modeling to answer difficult questions in an environment with little information and resources

Required

• Masters degree in quantitative field i.e. Statistics / Data Science / Mathematics / Economics / Physics etc.

• 3+ years experience with statistical analysis, data visualization (ex: QlikSense, Tableau, Power BI), data modeling, or optimization.

• Expertise using statistical software (R/Python, etc.), query languages or software, such as Big Query, SQL, Hadoop/Hive, Alteryx along with Microsoft Office programs, especially Excel and PowerPoint.

• Ability to work with the customer to determine the underlying business question / need

• Be able to quickly convert a real business question into a solvable modeling problem, sort out relevant information, and judge the solution against business reality

• Apply business acumen to the problem and solution vs. a solely data-based approach

• Familiarity with Ford’s vehicles, attention to detail, time management, willingness to learn, ability to handle multiple projects at a time, excellent communication and data presentation skills

• Enabling Ford to keep competitive advantage in terms of state-of-the-art business modeling and advanced analytical capabilities

Preferred

• Ph.D. in Statistics, Economics, Applied Mathematics or similar field

• Automotive experience is a plus

• Capability of carrying out independent technical work in close collaboration with business-partners is a plus.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage

• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

• Vehicle discount program for employees and family members and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time.

For more information on salary and benefits, click here:

This position is a range of salary grades 7-8 .

Visa sponsorship & Relocation is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call .

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid

Requisition ID : 50011

Data Analysis and Exploration: Analyze large, complex datasets to extract meaningful insights and identify trends. Perform exploratory data analysis (EDA) using AWS data processing tools. Model Development: Build, train, and evaluate machine learning models using AWS services such as SageMaker, and frameworks like TensorFlow. ETL and Data Preparation: Work with AWS Glue, Redshift, Textract and other data engineering tools to preprocess, transform, and manage data for machine learning purposes. Machine Learning Pipeline Development: Develop end-to-end machine learning pipelines on AWS to automate and operationalize the deployment of models at scale. Collaboration: Work closely with data engineers, business analysts, and stakeholders to understand business needs and tailor data science solutions to meet those needs. Model Deployment and Monitoring: Deploy models to production and set up monitoring systems to track performance, accuracy, and other key metrics. Use SageMaker and Lambda for model hosting and API development. Documentation and Reporting: Document models, processes, and findings for stakeholders, enabling clear communication of results and decision support.

Base Salary Range: $100,000 - $120,000 per annum

TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-SV2

• Collaborate with team members across product, engineering, marketing, operations, and more to develop evidence based approaches to finding gaps & optimizing the customer experience.
• Use advanced analytics including clustering, propensity modeling, statistical knowledge, and other explanatory and causal inference techniques to gain a clearer picture of customer behavior.
• Build compelling data stories and visualizations to influence decision makers.
• Serve as a mentor and resource to other data scientists on the team.
• Design and implement A/B tests, perform regression modeling, and provide recommendations for product roadmap.
  

• An undergraduate or Master's degree in a quantitative field (e.g. mathematics, engineering, statistics, finance, or similar)
• 3+ years of work experience involving quantitative data analysis and complex problem solving. Experience working with product teams strongly preferred.
• A strong understanding of statistical concepts, measurement issues, and inference techniques.
• Proficiency in SQL, Excel, and either Python or R, along with some experience with Tableau, Mode, or other visualization software.
• Extensive experience querying multi-terabyte-sized noisy data sets such as clickstream data.
• Experience with ETL pipelines, scheduling and productionalizing is a plus.
• Experience with A/B Testing, Experimentation, or Casual Inference
• Strong written, verbal, and visual communication skills with the ability to work cross-functionally.

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on!

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies.

YOUR RESPONSIBILITIES

As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design.

JOB REQUIREMENTS

• Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics.
• Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment.
• Training in deep learning approaches and natural language processing
• Advanced proficiency with Python for data analysis
• Must be fluent in either keras or tensorflow
• Experience with large data sets (10 million+ rows)
• Ability to convey rigorous mathematical concepts and considerations to non-experts
• Experience working in an agile methodology

STRONG PYTHON and LLM experience

Responsibilities:

• Design, develop, and implement Gen AI models for various applications, focusing on tasks like data augmentation, anomaly detection, and content generation.
• Collaborate with engineers to integrate Gen AI models into existing systems and workflows utilizing AKS, Cosmos DB, and Synapse Analytics.
• Participate in the entire machine learning pipeline, including data preparation, feature engineering, model training, evaluation, and deployment.
• Monitor and evaluate the performance of Gen AI models, identifying opportunities for improvement and optimization.
• Stay up-to-date on the latest advancements in Gen AI and related fields, actively learning and applying new techniques.
• Participate in the development and implementation of best practices for responsible AI development and deployment.
• Collaborate effectively with cross-functional teams, including engineers, product managers, and data analysts, to translate business needs into technical solutions.
• Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience).
• Proven experience in designing, developing, and deploying machine learning models, preferably with a focus on Generative AI techniques.
• Strong understanding of cloud-based computing platforms, particularly Azure AKS, Cosmos DB, and Synapse Analytics.
• Familiarity with data pipelines, data visualization tools, and version control systems (e.g., Git).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to effectively work with diverse teams.
• Passion for innovation and a continuous learning mindset.

Data Analysis and Exploration: Analyze large, complex datasets to extract meaningful insights and identify trends. Perform exploratory data analysis (EDA) using AWS data processing tools. Model Development: Build, train, and evaluate machine learning models using AWS services such as SageMaker, and frameworks like TensorFlow. ETL and Data Preparation: Work with AWS Glue, Redshift, Textract and other data engineering tools to preprocess, transform, and manage data for machine learning purposes. Machine Learning Pipeline Development: Develop end-to-end machine learning pipelines on AWS to automate and operationalize the deployment of models at scale. Collaboration: Work closely with data engineers, business analysts, and stakeholders to understand business needs and tailor data science solutions to meet those needs. Model Deployment and Monitoring: Deploy models to production and set up monitoring systems to track performance, accuracy, and other key metrics. Use SageMaker and Lambda for model hosting and API development. Documentation and Reporting: Document models, processes, and findings for stakeholders, enabling clear communication of results and decision support.

Base Salary Range: $100,000 - $120,000 per annum

TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-SV2

• Leverage Foursquare's unique foot traffic and location data to develop strategic insights and innovative applications.
• Collaborate closely with engineering, product, and sales teams to optimize B2B products and improve overall product quality.
• Design and implement algorithms, models, and analytics workflows using SQL, Python/PySpark, and machine learning techniques.
• Translate complex data science methodologies into clear, actionable insights for cross-functional stakeholders and clients.
• Work hands-on with large-scale, geospatial datasets in a fast-paced, startup-like environment.
• Continuously experiment with emerging tools, methods, and models to push the boundaries of what's possible with location-based data.

• 3+ years work experience as a data scientist or in analytics, working with big datasets
• Extensive experience in the following fields (any): data science, modeling, machine learning, deep learning, (big) data analytics, data normalization, geospatial data science, causal inference
• Expertise in SQL and Python/Pyspark
• An understanding of data science and machine learning concepts, with hands-on experience with a broad range of research & analytics tools, including emerging tolls and methods.
• Experience with embedding models and/or ranking models is considered a plus
• Familiarity with working with location data and an ability to clearly understand complex underlying data assets
• Ability to distill complex data science concepts and methodology, and articulate insights to cross-functional teams and clients with varying levels of knowledge in this space
• A solid understanding of data structures and algorithms is nice to have
• Must be a self-motivated team player and comfortable working in a small, fast paced, exciting environment

• Flexible PTO - take the time you need to rest and recharge
• Comprehensive healthcare - industry-competitive medical, dental, vision, and life insurance
• 401(k) with company match - invest in your future with support from Foursquare
• Family planning support - access fertility and family-building programs through Carrot
• Growth Investment Program - funding and resources to support your personal and professional development
• Tech setup - we'll provide a company laptop and the essentials to help you get up and running smoothly