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Delta Data Scientist Jobs (NOW HIRING)

T Rowe Price

Sr AI Data Scientist

Manhattan, NY · Hybrid

Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog ... Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.

Noblesoft Technologies

Data Scientist

CA · Remote

Data Scientist Location: Remote We are looking for a Senior Developer with expertise in agentic AI ... Delta tables * workspaces * Model training using Databricks * ML lifecycle management * Deployment ...

Farm Systems

Dairy Data Scientist

Watertown, WI · On-site

Are you passionate about dairy science and interested in using data to improve herd performance ... Experience with Databricks, PySpark, Delta Lake, or cloud-based analytics platforms. * Experience ...

AgSource

Dairy Data Scientist

Watertown, WI · On-site

Are you passionate about dairy science and interested in using data to improve herd performance ... Experience with Databricks, PySpark, Delta Lake, or cloud-based analytics platforms. * Experience ...

Urus Group LP

Dairy Data Scientist

Watertown, WI · On-site +1

Are you passionate about dairy science and interested in using data to improve herd performance ... Experience with Databricks, PySpark, Delta Lake, or cloud-based analytics platforms. * Experience ...

Urus

Dairy Data Scientist

Watertown, WI · On-site

Are you passionate about dairy science and interested in using data to improve herd performance ... Experience with Databricks, PySpark, Delta Lake, or cloud-based analytics platforms. * Experience ...

AgSource

Dairy Data Scientist

Watertown, WI · On-site +1

Are you passionate about dairy science and interested in using data to improve herd performance ... Experience with Databricks, PySpark, Delta Lake, or cloud-based analytics platforms. * Experience ...

Blink Health

Principal Data Scientist

New York, NY · On-site

... Databricks (Delta Lake, MLflow, Feature Store, Model Serving, or related capabilities ... Experience mentoring data scientists and raising the bar for analytical excellence. Why Join Us: It ...

Databricks

Senior Data Scientist

Mountain View, CA · On-site

As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks ... Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a ...

Exelixis, Inc.

Senior AI Data Scientist I

Alameda, CA · On-site

## Senior AI Data Scientist IApplylocations: Alameda, CAtime type: Full timeposted on: Posted Todayjob ... Basic knowledge of Databricks notebooks and Delta Lake concepts.* Basic familiarity with AWS cloud ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

SUMMARY/JOB PURPOSE The Senior AI Data Scientist I develops, trains and validates AI/ML models and ... Basic knowledge of Databricks notebooks and Delta Lake concepts. * Basic familiarity with AWS cloud ...

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Delta Data Scientist information

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$37.5K

$122.7K

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How much do delta data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for delta data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Delta Data Scientist?

A Delta Data Scientist is a professional who specializes in analyzing and interpreting data using the Databricks Delta Lake platform, focusing on big data analytics, data engineering, and machine learning. Their role typically involves designing and implementing data pipelines, performing advanced analytics, and creating predictive models to help organizations make data-driven decisions. They work closely with large-scale datasets, often in cloud environments, and leverage tools such as Apache Spark and Databricks for processing and analysis. Delta Data Scientists also ensure data quality, optimize performance, and collaborate with other data professionals to drive business insights.

What are the key skills and qualifications needed to thrive as a Delta Data Scientist?

To thrive as a Delta Data Scientist, you need strong analytical skills, proficiency in statistics, data modeling, and a solid foundation in programming languages like Python or R, often complemented by a degree in computer science, mathematics, or a related field. Experience with data visualization tools (e.g., Tableau), machine learning frameworks, and familiarity with cloud platforms such as AWS or Azure are typically expected. Excellent problem-solving abilities, effective communication, and collaboration skills enable you to translate data insights into actionable business solutions. These competencies are crucial for extracting value from complex data sets and driving data-driven decision-making within the organization.

How do Delta Data Scientists typically collaborate with other departments within the organization?

Delta Data Scientists frequently work cross-functionally with teams such as engineering, product management, and business operations. Collaboration often involves gathering requirements, validating data sources, and translating business goals into data-driven solutions. Regular meetings, project updates, and joint problem-solving sessions are common, ensuring that analytical insights are closely aligned with organizational objectives. This collaborative environment fosters both learning and innovation, as data scientists gain exposure to diverse perspectives and domain knowledge.

What is the difference between Delta Data Scientist vs Delta Data Analyst?

AspectDelta Data ScientistDelta Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming experienceBachelor's in Data Analysis, Statistics, or related fields; basic data skills
Work EnvironmentDeveloping models, advanced analytics, machine learning tasksData cleaning, reporting, visualization
Employer & Industry UsageTech companies, finance, healthcare, using advanced analyticsRetail, marketing, business operations, focusing on reporting

Delta Data Scientists focus on building predictive models and advanced analytics, requiring stronger technical skills and often higher education. Delta Data Analysts primarily handle data reporting and visualization, with a focus on interpreting data for business decisions. Both roles are essential but differ in complexity and scope.

What are popular job titles related to Delta Data Scientist jobs?

For Delta Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Delta Data Scientist job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Sr AI Data Scientist

Manhattan, NY • Hybrid

T Rowe Price
Funds, Trusts and Financial Programs • 5 - 10K employees
Learn more about T Rowe Priceexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Contribute to the full data and model lifecycle, including problem framing, feature engineering, modeling, deployment, and monitoring.

  • Develop and maintain production solutions using Python (pandas, PySpark) on Databricks, applying CI/CD and ensuring reproducibility.

  • Mentor data scientists and engineers, lead code and design reviews, and foster a collaborative team environment.

T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

About the Team

Are you a curious problem solver who asks great questions and loves collaborating across disciplines?At T. Rowe Price, Data Scientists build the analytics and AI that power better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our new Baltimore, MD Harbor Point location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact in asset management. If you're a handson leader who cares about people as much as technology, we'd love to talk.

Role Summary

This is a handson, endtoend lead role-from discovery to production. As a team leader, you will think creatively and scale modern AI/Data Science practices on Databricks, set team standards, and drive collaborative delivery. T. Rowe Labs is focused on building the firm's nextgeneration data and AI platform, aiming to seamlessly deliver ondemand MLpowered insights across our firm.

Responsibilities

  • Contribute to the full data & model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring.

  • Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI/CD and reproducible experiments.

  • Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks); ensure repeatable pipelines.

  • Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost.

  • Deliver welldefined work items; clarify requirements through thoughtful questions and proposals.

  • Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.

  • Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions.

  • Help shape elements of the data/ML platform strategy and drive execution within your domain.

  • Balance strategic and pragmatic concerns; proactively surface risks and resolve issues.

Qualifications

Required:

  • BS/MS in a quantitative field (CS, Statistics, Applied Math, Engineering, Economics) or equivalent; 5+ years in data science/ML.

  • Experience with automated pipelines, testing for data/models, and model lifecycle management (registry, versioning, monitoring).

  • Solid understanding of cloudnative architectures (AWS).

  • Excellent communication and collaboration skills; adept at asking incisive questions and aligning diverse stakeholders.

Preferred:

  • Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation).

  • Strong Python and Spark expertise; handson Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).

  • Timeseries/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt).

  • A solid understanding of financial markets and instruments.

  • Commitment to quality via unit/integration tests, data validation, documentation, and code review.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

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