Data scientist jobs in Grand Prairie, TexasCreate job alerts

Job Description Data Scientist Java Developer Oracle DBA Sales force SAP

Job Description Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Data Scientist for our client in the Retail domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately. Duration: 12+ Months Contract Location: Irving, TX Salary: $65.00-$70.00/Hourly Role: Data Scientist Primary Skills: SQL Role Description: The Data Scientist must have 2+ years of experience. For this role, you must be a mid-level Data Scientist to help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions. This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment. Responsibilities: • Research, prototype, and develop AI/ML solutions for customer segmentation and personalization., • Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact., • Build, deploy, monitor, and analyze machine learning models in production environments., • Apply statistical experimentation techniques when launching and iterating on AI-driven products., • Partner closely with data, product, marketing, and engineering teams to align solutions with business goals., • Translate complex analytical findings into clear, actionable insights for non-technical stakeholders., • Stay current with emerging tools, frameworks, and best practices in data science and experimentation., • Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence., • Demonstrate measurable impact through data science applied to marketing and personalization use cases. Basic Qualifications: • 2+ years of experience in statistical data science, feature engineering, and customer segmentation., • 2+ years of hands-on experience with Python, SQL, and PySpark., • 2+ years of experience training, evaluating, and deploying machine learning models., • 2+ years of experience productionizing ML workloads in AWS or Azure., • Familiarity with containerized deployments using Docker and/or Kubernetes., • Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience. Preferred Qualifications: • Experience working with the Databricks platform., • Experience building ML models using large-scale structured and unstructured data., • Exposure to company ecosystems, such as: Customer Data Platforms (CDPs); Data Management Platforms (DMPs); Email Service Providers (ESPs), • Experience integrating data science solutions into marketing and personalization workflows. Education: Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience. Experience: Minimum 2+ years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Aman Agarwal Recruiter Phone: 1 361.356.1669 Benefits: We have various coverages and additional benefits to choose from: • Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll)., • Paid Leaves (Wherever applicable)., • Life & Disability Coverage (Upon eligibility)., • 401K Option, Education Assistance Program and more. Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. As a Principal Data Scientist, you will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and advanced AI technology. You will spearhead high-impact data science projects that revolutionize product personalization, marketing effectiveness, channel optimization, customer experience, and operational efficiency. Working closely with a talented team of data scientists, ML engineers, software developers, and business stakeholders, you will play a pivotal role in designing and delivering Verizon's next-generation AI/ML solutions. In this role, you will architect agentic AI solutions to elevate the customer experience, optimize offer personalization, and automate complex customer queries. You will develop predictive models to forecast customer behavior and business events, translating complex technical outcomes into strategic insights for partners across marketing, customer experience, and engineering teams. To ensure peak performance, you will oversee the end-to-end development and operational lifecycle, diving into root causes to solve complex technical challenges. Your sharp judgment, technical expertise, and ability to bridge the gap between business problems and technical solutions will directly impact our bottom line. Lead discussions with key business leaders to align data science initiatives with broader business strategies and identify new growth opportunities. Lead the design, development, and optimization of agentic AI, LLM, and machine learning/deep learning solutions. Partner with engineering teams to deploy models into production (both real-time pipelines and batch processing) and systematically track model performance. Serve as a subject matter expert on agentic development, machine learning and predictive modeling, providing technical guidance and mentorship to junior data scientists. Drive technical excellence through active research and the practical application of emerging theories, tools, and technologies. You are an analytical thinker who thrives in a collaborative, dynamic, and global environment. You are passionate about solving complex business problems using machine learning, building end-to-end analytical solutions, and presenting data-driven insights to executive leadership. You are self-motivated, eager to learn evolving technologies, and skilled at navigating cross-functional teams to turn data into actionable business value. Bachelor's degree or four or more years of work experience. Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. Strong foundational knowledge in mathematics, statistics, physical sciences, engineering, or a related quantitative field. Experience developing and deploying AI agents end-to-end, with solid hands-on knowledge of LLMs, RAG, LangChain, and LangGraph. Hands-on programming experience in Python and SQL. Experience in machine learning/deep learning algorithms, including Transformer, transfer learning, NLP using Pytorch and scikit-learning packages. Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake or others. Experience with GCP, AWS, or other cloud computing services. A Ph.D. in Computer Science, Engineering, Data Science, or a related field. Demonstrated success leading large-scale data science projects from ideation through to production. Proven ability to leverage Hugging Face packages and apply the latest machine learning research from Git repositories to real-world projects. Background in traditional software development practices and methodologies. Experience developing agentic solutions with Google ADK Experience designing and scaling Recommendation and Ranking systems. Experience aligning marketing strategies with offer execution and measuring campaign effectiveness. Strong communication and interpersonal influencing skills. Excellent problem-solving and critical-thinking capabilities. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies. 40 Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00.

Key areas of accountability include participating in the design and development of Data and Analytic Solutions including GenAI as part of Strategic Cybersecurity projects and programs; providing input into technology roadmaps and application evolution plans; acting as a researcher and evaluator of n

Research Experimentation & Innovation. Statistics Data Science Computer Science Mathematics Operations Research or a related quantitative field; Bachelors considered with exceptional applied experience.

About the role: Join our fast-growing Global Product Management Data Science team and help transform Gartner's Client Experience Digital Platform-the essential destination for IT and business leaders worldwide. As a data scientist, you'll leverage advanced analytics and machine learning to create intelligent, scalable solutions that deliver real value and enhance every step of our clients' journey. In this role, you will lead complex data science projects in partnership with cross-functional teams, driving the development of advanced AI-powered chatbot systems that deliver intelligent, personalized experiences at scale. You'll architect and implement cutting-edge conversational AI tools-including intelligent search, recommendation engines, and context-aware content systems-while ensuring seamless integration with enterprise platforms. • Lead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities, • Architect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scale, • Design and implement advanced tools that power conversational AI capabilities, including intelligent search, recommendation engines, and context-aware content retrieval systems, • Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools, • Build user profiling and personalization models to deliver tailored chatbot experiences, • Be accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption, • Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability, • Leverage internal and external data to understand client's company-level priorities and deliver targeted support, • Collaborate with senior leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives, • Pitch ideas, present solutions, and influence senior leaders and executive stakeholders with strong business value propositions, • Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems, • Collaborate with engineering and product teams to launch MVPs and iterate quickly, • Independently plan and drive complex data science projects that deliver measurable business value, • Mentor junior data scientists on chatbot development, LLM applications, and best practices, • 6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact, • Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required, • Strong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies and influence executive leadership, • Working experience in some of the following data science areas:, • Large Language Models (LLMs) and Generative AI, • Conversational AI, chatbot development, and dialogue systems, • Natural Language Processing and text mining, • Search and Recommendation systems, • Prompt engineering, LLM fine-tuning, and model optimization, • AI agent architectures and orchestration, • Strong familiarity with Model Context Protocol (MCP) and building tools for AI agents, • Deep understanding of Lean product principles, software development lifecycle, and machine learning life cycle, • Practical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systems, • Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting, • Experience with cloud computing services such as AWS or Azure ML, • Strong ability to work collaboratively across product, data science and technical stakeholders with experience mentoring data scientists, • Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone, • Bias for action and client outcome oriented, • Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!, • Collaborative, team-oriented culture that embraces diversity, • Professional development and unlimited growth opportunities #LI-CW4 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 113,000 USD - 147,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to_. Job Requisition ID:106861 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: _ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you'll do • Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow., • Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails., • Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery, • Leverage statistical and machine learning techniques to extract actionable insights from client retention data., • Develop customer churn prediction models that proactively identify at-risk clients,, • Build tools to process structured and unstructured data, • Engineering features and signals to train ML model from diverse data collection What you'll need • BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus), • 4 years' experience in data science methodologies as applied to live initiatives or software development// Experience working with Gen AI projects, • Minimum 4+ years of experience in python coding and statistical analysis, • Minimum 2 years working experience in several of the following: o Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data mining and recommendation systems o Natural Language Processing and Information Retrieval o Experience working with large volumes of data o User behavior modeling Who you are • A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge., • Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies., • Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented., • Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business What we offer • A collaborative, positive culture. You'll work with people who are as enthusiastic, smart and driven as you are. You'll be managed by the best too., • Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization. About Gartner: Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A - Visit gartner.com to learn more. Diversity, inclusion and engagement at Gartner: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at +1203-964-0096 or by sending an email to _ #LI-Remote #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 98,000 USD - 133,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to_. Job Requisition ID:106172 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: _ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

In this role, you'll collect and preprocess data alongside developing statistical models, all while working remotely. Ideal candidates will have strong skills in statistics, data analysis, and programming, as well as excellent communication abilities.

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Data Scientist Job Duties: Formul

Praescient Analytics is seeking a highly motivated Data Scientist / Machine Learning Engineer to support our Department of Defense (DoD) and national security partners.

Prior experience as a Data Engineer, Data Manager, or Data Scientist is highly preferred. Hands‑on expertise with modern data platforms (data warehouses, lakes, lakehouse architectures) and familiarity with data fabric or data mesh patterns. Experience with data governance, data quality, and data

Formal education: Bachelors degree with six or more years of relevant work experience as a Data Scientist practicing model development for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with four or more years

Hands‑on experience in building machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL.

Cotality in Irving, Texas is seeking a seasoned Data Scientist to design and enhance data-driven solutions across the property industry. Responsibilities include creating predictive models, conducting complex data analysis, and collaborating with cross-functional teams.

Praescient Analytics is looking for a Data Scientist / Machine Learning Engineer in Arlington, Texas, to support national security initiatives through AI solutions. The ideal candidate will possess strong skills in data science and machine learning, with at least 5 years of relevant experience in de

A technology firm is urgently seeking a Sr Data Scientist Engineer with at least 8 years of experience in data science and machine learning. Experience in leading data science projects and building data pipelines is crucial. The role requires proficiency in Python, big data technologies, and cloud p

The People Analytics Data Scientist contributes to this mission by acting as an integrator of data and insights to empower decision makers and reveal opportunities to drive outcomes and business impact. People Analytics Data Scientist – Caterpillar, Inc. Lead data exploration and analytics project

The People Analytics Data Scientist contributes to this mission by acting as an integrator of data and insights to empower decision makers and reveal opportunities to drive outcomes and business impact. Oversee the acquisition and consumption of data from structured and unstructured sources, while e

Work closely with data engineering to shape data infrastructure and pipelines to support scalable model development. Analyze complex datasets to identify patterns, generate insights, and support business strategy. Partner with business stakeholders to frame problems, prioritize use cases, and measur