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Data Science Associate Jobs in Dallas, TX (NOW HIRING)

PepsiCo

Senior Data Scientist

Plano, TX · On-site

$93.50K - $156.45K/yr

Data Science Associate Principal Scientist The purpose of hiring this role is to establish dedicated ownership for the oneNA category forecast capability, which is critical to delivering unified ...

Lantern

Data Scientist

Dallas, TX

Skills, Knowledge and Expertise * Bachelor's degree in computer science or related field ... Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ...

PepsiCo

Senior Data Scientist

Plano, TX

$93.50K - $156.45K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

PepsiCo

Senior Data Scientist

Plano, TX

$93.50K - $156.45K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

Gartner

Director, Data Science

Irving, TX · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Gartner

Director, Data Science

Irving, TX · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Chase

WFP Senior Data Scientist

Plano, TX · On-site

... Associate Senior If you like turning real-world problems into models that actually move the needle, you'll fit right in. Our Workforce Planning (WFP) Data Science team builds AI/ML solutions that ...

Lantern

Data Scientist

Dallas, TX · On-site

Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ... Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior ...

Lantern

Data Scientist

Dallas, TX · On-site

Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ... Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior ...

KPMG

Data Scientist- Associate

Dallas, TX · On-site

$58.40K - $58.90K/yr

Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred. Minimum of a Bachelor's degree is required.

JP Morgan Chase

WFP Senior Data Scientist

Plano, TX

As a Data Scientist Associate Senior within the Consumer and Community Banking in Workforce Planning (WFP) you will solve complex, data-intensive, and often unstructured business problems that ...

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$56.9K

$67.3K

$127.6K

How much do data science associate jobs pay per year?

As of May 28, 2026, the average yearly pay for data science associate in Dallas, TX is $67,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $58,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Dallas, TX? The most popular types of Data Science jobs in Dallas, TX are:
What are popular job titles related to Data Science Associate jobs in Dallas, TX? For Data Science Associate jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Dallas, TX look for? The top searched job categories for Data Science Associate jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Science Associate jobs? Cities near Dallas, TX with the most Data Science Associate job openings:
Data Science Associate jobs near you
Senior Associate -Applied AI Data Scientist

Senior Associate -Applied AI Data Scientist

Chase

Plano, TX • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Senior Data Science Associate

About the role JPMorgan Chase's Asset & Wealth Management Finance organization is building the next generation of agentic AI solutions that act as "digital workers" for forecasting, analytics, and decision support.

As a Senior Data Science Associate, you will design, deploy, and scale large language model (LLM) agents that turn complex finance questions into trusted, actionable insights.

Job responsibilities

  • Build production LLM agents for finance workflows using techniques such as retrieval-augmented generation (RAG), tool use, and multi-step reasoning.
  • Develop robust data and inference pipelines in Python and SQL; integrate agents with APIs, microservices, and BI applications.
  • Implement evaluation frameworks and guardrails: offline and online tests, automatic metrics (factuality, grounding, hallucination rate), human-in-the-loop reviews, red-team testing, and observability.
  • Optimize for scale, latency, and cost across cloud environments; leverage vector databases and embeddings for efficient retrieval.
  • Partner with Finance, Product, and Engineering to identify high-value use cases; translate ambiguous problems into measurable outcomes.
  • Apply solid ML engineering and MLOps practices (versioning, CI/CD, model registry, monitoring, incident response).
  • Document systems, deliver enablement materials, and upskill partners; contribute to standards for privacy, security, and model risk governance.

Required qualifications, capabilities and skills

  • 6+ years in data/ML roles, including 3+ years building and operating production ML applications; hands-on experience with LLMs.
  • Strong Python and SQL.
  • Practical knowledge of RAG, prompt engineering, fine-tuning, function/tool calling, and vector stores.
  • Experience with cloud platforms (e.g., AWS, Azure, or GCP) and modern data stacks (e.g., Databricks or Snowflake).
  • Familiarity with LLM frameworks and orchestration (e.g., LangChain or LlamaIndex) and REST/GraphQL API design.
  • Proficiency in analytics and applied statistics; ability to design experiments and evaluate business impact.
  • Excellent communication and stakeholder management; comfort working across Finance, Technology, and Operations.

Preferred qualifications, capabilities and skills

  • Experience building multi-agent systems, autonomous workflows, or task planners.
  • Experience with PySpark or distributed compute.
  • Knowledge of model safety, bias, and privacy techniques; experience with model risk management and governance.
  • Exposure to observability tools (logging, tracing, telemetry) and A/B testing.
  • Background integrating agents with BI/reporting and workflow tools; familiarity with Tableau or similar is a plus.
  • Experience with GPUs/accelerators, containerization, and infrastructure-as-code.

What success looks like

  • 90 days: deliver a pilot finance agent with RAG and evaluation metrics, integrated with key data sources and APIs.
  • 6 months: scale agents across multiple workflows, establish guardrails and monitoring, and demonstrate clear improvements in cycle time, accuracy, or user satisfaction.

What JPMorgan Chase & Co. employees say

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