UNKNOWN

ADAPTED_NOW

HOUR

Monitor and analyze new technology product performance and address complex improvement or modification issues as needed. High-level programming language | CI/CD tools | Database management | Data embedding techniques.

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<h3>OUR FOCUS IS GROWTH</h3>
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<p>It’s not just about filling job openings.  It’s about enabling growth and inspiring success.  That’s what we do.</p>
<p>Mitchell Martin is one of the nation’s largest staffing companies, with offices throughout the US as well as in India and the Philippines.  We help drive success for both people and companies by helping them achieve positive growth.   We do this by building strong relationships and developing a deep understanding of the people we work with, in order to facilitate the best matches for both sides of the equation.    </p>
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Mitchell Martin

Data Scientist AI Engineer

FEED

Experience with most or all of the following basic data science tools: Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing, predictive modeling, data visualization; and Big data tools: Hadoop, Azure, etc. Experience must include creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, data mining techniques, etc.

YEAR

DLA Piper

Data Scientist, Applied AI Solutions

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You will design, build, and ship production-grade AI products including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, and AI-enabled automation embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting-edge AI research into real-world products and taking features from 0 to 1.

At the Blue Cross and Blue Shield Association (BCBSA), we provide business strategy, technical support and consulting expertise to 36 Blue Cross and Blue Shield companies across the nation, employing more than 1,000 of the best strategic thinkers in the industry.  We are a Brand manager that sets quality control standards for the 36 independent companies that use the Blue Cross and Blue Shield Brands, and we serve as a trade association that represents these Blue companies. It is through our involvement that the Blues companies share a united vision and strategy while also benefiting from the local strength of all member companies.

Blue Cross and Blue Shield Association

Data Scientist, Principal - AI Product Engineering

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. Operating at the intersection of data science, marketing, and business strategy, you will apply advanced analytics and machine learning techniques to large customer datasets to power personalized digital experiences and measure their effectiveness.

Texas Instruments Inc

Web Marketing Program - Digital Experience Data Scientist

SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers . Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end” thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives.

SynergisticIT is a California-based technology company specializing in software development solutions. Founded in 2010, it focuses on building scalable and efficient applications for businesses across various industries.

The company provides custom software development services, including application design, system integration, cloud solutions, and technology upgrades. Its development approach emphasizes agility, innovation, and aligning solutions with client needs.

SynergisticIT works with organizations of different sizes, helping them adapt to evolving digital demands through reliable and high-quality software. By combining technical expertise with a results-driven mindset, the company aims to deliver solutions that enhance business performance and support long-term growth.

Overall, SynergisticIT positions itself as a bridge between talent and opportunity in the technology sector. By integrating consulting, development, and upskilling services, the company aims to create value for both organizations seeking skilled professionals and individuals pursuing careers in IT.

SynergisticIT

Junior Data Scientist/Analyst/Java full stack developer

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Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance. As an AI & GenAI Data Scientist - Senior Manager you will leverage advanced analytics, statistical modeling, and data visualization to help clients solve complex business problems and support data-driven decisions within our Data and Analytics Engineering practice.

<p>PwC’s accounting practice originated in London well over a century ago. As times changed and PwC expanded worldwide, our commitment to clients—like you—never wavered. With us, you’re always supported by a global network of more than 223,000 people in 157 countries with one goal: to help your business thrive.</p>

<p>PwC’s professional services include audit and assurance, tax and consulting that cover such areas as cybersecurity and privacy,  human resources, deals and forensics. We help resolve complex issues and identify opportunities across these industries.</p>

<p>Let’s combine your ​aspirations with our world-class capabilities to achieve your goals.</p>

PricewaterhouseCoopers LLP

AI & GenAI Data Scientist - Senior Manager

AI & Genai Data Scientist - Senior Manager

Data Quality and Instrumentation: Assess data across experimentation, customer, marketing automation, analytics, advertising, call center, and transactional sources, document limitations before results reach executives, and define instrumentation and identity requirements with engineering. Attribution and Media Optimization: Connect channel, session, customer, and booking identifiers, separate factual reporting from modeled attribution, and feed offline conversions back to advertising platforms with privacy and consent built in.

Arrivia Inc

Senior Data Scientist

This person should be comfortable working directly with large datasets, building repeatable data pipelines, writing clean and maintainable code, troubleshooting model and data issues, documenting technical decisions, and partnering with engineering teams to integrate models into scalable production workflows. Experience designing, deploying, or supporting machine learning models where inference must be delivered in real time or near real time, including low-latency scoring, performance optimization, and integration with production decisioning workflows.

Bank of America

Data Scientist

Benefits and Perks: Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we're fortunate to provide all of our Hippos with: Relocation Assistance- Support available for qualified candidates relocating to one of our hub locations. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.

Hippo Insurance

Actuarial Data Scientist

Experience with Software Development Life Cycle documentation procedureFamiliarity with assay validation, regulatory environment (CAP/CLIA), or clinical diagnosticsSkills:Experience using scripting languages (Python, R, or similar) for scientific data analysis and visualizationStrong proficiency in NGS data processing, QC, and interpretationExperience with analysis of next-generation sequencing data, preferably including Whole-Genome Sequencing, Variant calling, and AnnotationExcellent communication skills and the desire to work in a dynamic and collaborative environment61843Quest Diagnostics honors our service members and encourages veterans to apply. D. in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, or a related fieldExperience with oncology genomics and somatic variant analysisPreferred Work Experience:Experience in NGS workflow development Strong analytical skills with the ability to interpret and communicate experimental resultsAbility to work collaboratively in a fast-paced, Cross-functional environment.

Quest Diagnostics Inc

NGS Data Scientist (Hybrid)

Benefits and Perks: Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we're fortunate to provide all of our Hippos with: Relocation Assistance - Support available for qualified candidates relocating to one of our hub locations. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands.

Hippo Holdings Inc

FULL_TIME

OTHER

Required Qualifications, Capabilities, and Skills : Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Industrial-Organizational Psychology, Industrial Engineering, or a related field, with quantitative training such as econometrics or research methods. Developing experience using AI-powered analytics, workflow automation, or intelligent process tools to drive efficiency gains, reduce manual effort, or improve accuracy in operational processes.

JPMorgan Chase Bank, N.A.

Data Scientist - Process Intelligence Analytics

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Collaborate with business and technical teams to understand problems and deliver scalable data science solutions. Analyze historical data using SQL and data analysis techniques to identify trends, patterns, and insights.

Georgia Tek Systems

Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors - our North Star. This resource will work with the current data science team and integrate information from various sources and analyzes it for better understanding about how the business performance can be enhanced, and to analyze output from AI tools that automate certain processes within the company.

Welltower, Inc

Data Scientist - Phd Required - Onsite Dallas, TX

Skills Required: This position requires five (5) years of experience with the following: Financial analysis such as Return on Investment or Net Present Value to find value of a financial product; data manipulation, data structuring, data design flow and query optimization using SQL; visualizations and business intelligence in Tableau; performing tasks automation, data design flow and statistical analysis using Python v3.8 for advanced data manipulation and visualization; Big data analysis of account transaction text descriptions; data handling and query optimization with Snowflake; Using techniques Multivariate regression, logistic regression, decision trees, cohort analysis for Predictive modeling and Anomaly detection. This position requires three (3) years of experience with the following: Alteryx for building scalable data preparation and analytics workflows; Coaching, mentoring, and reviewing analysts and data scientists, including guidance on methodologies, data sources, and validation of code and outputs; Integrating geospatial analytics into financial datasets to derive location-based insights; Designing random and stratified sampling frameworks to enable unbiased analysis and balanced comparison groups; Leading analytical projects including problem framing, execution planning and stakeholder management; applying machine learning and AI techniques to large datasets and generate predictive and actionable insights.

Data Scientist [Multiple Positions Available]

Responsible for leading cross-functional teams and providing in-depth data insights for complex business problems approached with advanced analytic techniques to collect, explore, and extract insights from structured and unstructured data. Provides in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.

Memorial Hermann Health System

Lead Data Scientist

As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. Job Description: Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.

ApTask

As a Data Scientist on the Innovation Team, you will develop machine learning and deep learning algorithms on molecular sequencing data (WGS, WES, RNA-seq, cfDNA), design analytic pipelines for novel biomarker discovery, and tackle the most challenging problems in liquid biopsy and translational oncology research. In your first year, success looks like leading one or two research projects from problem framing through deployment, contributing to a peer-reviewed publication or conference submission, and helping shape methods that inform Caris' diagnostic platform.

<p>Caris Life Sciences<sup>Â®</sup> is a leading biotechnology company focused on fulfilling the promise of precision medicine through quality and innovation. Caris Molecular Intelligence<sup>Â®</sup>, the companyâ€™s healthcare information and comprehensive tumor profiling service with more than 70,000 patients profiled, provides oncologists with the most clinically actionable treatment options available to personalize cancer care today. Using a variety of advanced profiling technologies to assess relevant biological changes in each patientâ€™s tumor, Caris Molecular Intelligence connects biomarker data generated from a tumor with biomarker-drug associations supported by evidence in the relevant clinical literature.  The company is also developing its ADAPT Biotargeting System<sup>â„¢</sup>  technology, a revolutionary and proprietary blood-based platform for the development of novel therapeutics, drug delivery and drug target identification. The platform is also being developed for diagnosis, prognosis, and theranosis of cancer and other complex diseases. </p>
<p>Caris also maintains the Center of Excellence Network for Precision Medicine (â€œCOE Networkâ€) which was established to promote the appropriate study and use of molecular profiling in the diagnosis and treatment of cancer with leading cancer centers in the United States. Headquartered in the Dallas-Fort Worth Metroplex, Caris Life Sciences offers services throughout Europe, the U.S., Australia and other international markets. </p>

	
		
		
	

Caris Life Sciences

Data Scientist - Innovation - PhD

You will design, build, and ship production-grade AI products, including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, statistical models, and AI-enabled automation, embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting-edge AI research into real-world products and taking features from 0 to 1.

Data Scientist Jobs in Dallas, TX

Data Scientist AI Engineer Mitchell Martin

Data Scientist, Applied AI Solutions DLA Piper

Data Scientist, Principal - AI Product Engineering Blue Cross and Blue Shield Association

Web Marketing Program - Digital Experience Data Scientist Texas Instruments Inc

Junior Data Scientist/Analyst/Java full stack developer SynergisticIT

AI & GenAI Data Scientist - Senior Manager PricewaterhouseCoopers LLP

AI & Genai Data Scientist - Senior Manager PwC

Senior Data Scientist Arrivia Inc

Data Scientist Bank of America

Actuarial Data Scientist Hippo Insurance

NGS Data Scientist (Hybrid) Quest Diagnostics Inc

Actuarial Data Scientist Hippo Holdings Inc

Data Scientist - Process Intelligence Analytics JPMorgan Chase Bank, N.A.

Data Scientist Georgia Tek Systems

Data Scientist - Phd Required - Onsite Dallas, TX Welltower, Inc

Data Scientist [Multiple Positions Available] JPMorgan Chase Bank, N.A.

Lead Data Scientist Memorial Hermann Health System

Data Scientist ApTask

Data Scientist - Innovation - PhD Caris Life Sciences

Data Scientist, Consultant Blue Cross and Blue Shield Association

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