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Data Science Engineer Jobs (NOW HIRING)

Legitscript

Sr Data Science Engineer

$117K - $140K/yr

This is not a pure engineering role or a pure research role. You'll need both, and you'll need to move fluidly between them. What You'll Do: Data Science & Applied ML * Research, prototype, and ...

MDAEdge

Principal Data Science Engineer

$138K - $185K/yr

They are seeking a high-impact principal data science engineer to join an early-stage team with a focus on creating large-scale positive impact in the world while generating substantial value in a ...

RDR Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

MiniMed

AI/Data Science Engineer II

Los Angeles, CA · On-site

$123K - $148K/yr

About the Role ThisAI/Data Science Engineer IIrole is focused on delivering big-data analytics solutions that drive decision support for the business. This role bridges advanced data engineering with ...

T-Mobile

Senior Data Science Engineer

Philadelphia, PA · On-site

$116K - $210K/yr

You'll collaborate with engineers, data scientists, product managers, and other stakeholders to solve complex problems and deliver innovative solutions at scale. We embrace Lean Development ...

GrammaTech, Inc.

Senior Data Science Engineer

Laurel, MD · Remote

$180K - $220K/yr

We are seeking a highly experienced Senior Data Science Engineer to support the development of advanced compliance analytics, automation tools, and machine learning solutions within a mission-focused ...

RDR, Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

RDR Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Utilize analytical, statistical, and programming skills ...

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All JobsData Science Engineer Jobs

Data Science Engineer information

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$44.5K

$129.7K

$177.5K

How much do data science engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data science engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
More about Data Science Engineer jobs
What cities are hiring for Data Science Engineer jobs? Cities with the most Data Science Engineer job openings:
What are the most commonly searched types of Data Science Engineer jobs? The most popular types of Data Science Engineer jobs are:
What states have the most Data Science Engineer jobs? States with the most job openings for Data Science Engineer jobs include:
What job categories do people searching Data Science Engineer jobs look for? The top searched job categories for Data Science Engineer jobs are:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Sr Data Science Engineer

Sr Data Science Engineer

Legitscript

Remote

$117K - $140K/yr

Full-time

Posted 17 days ago

Job description

At LegitScript, we are passionate about making the internet and payment ecosystems safer and more transparent. We help companies of all sizes keep their services legal and safe for consumers. To do this, LegitScript combines big data with the world's leading team of experts skilled in highly regulated and complex sectors, including transaction laundering detection, pharmaceuticals, online gambling, and more.
The result? Unmatched accuracy and deep risk analysis that identifies which commercial entities play by the rules, and which do not. Our diverse industry partnerships provide unique insights that keep businesses and governments at the forefront of emerging trends. That's why LegitScript is trusted by the world's largest search engines, internet platforms, payment companies, and regulatory agencies.
Overview:
You'll own the full lifecycle - from raw data ingestion to model deployment to measuring real-world business impact - with a current focus on building a sophisticated risk detection system using LLMs, Generative AI techniques, and classical ML within our SaaS platform. This is not a pure engineering role or a pure research role. You'll need both, and you'll need to move fluidly between them.
What You'll Do:
Data Science & Applied ML
  • Research, prototype, and develop ML and LLM-based models to solve complex business problems, with a current focus on risk detection and prioritization
  • Wrap models into production-ready APIs and integrate them into our core product
  • Ensure model outputs are interpretable - translating predictions into actionable reason codes for end users
  • Partner directly with operational teams to gather feedback, refine features, and improve model relevance over time

Data Engineering
  • Design, build, and maintain scalable pipelines to ingest data from disparate sources into our data warehouse/lake
  • Implement robust data validation, quality checks, and transformation workflows across raw, curated, and serving layers
  • Build and maintain curated datasets optimized for both analytics and model training use cases

MLOps & Production Ownership
  • Implement and maintain CI/CD pipelines for both data workflows and ML model deployment across environments
  • Monitor pipeline latency, data drift, and model performance in production; design alerting and retraining triggers
  • Own the business outcomes of your models - define success metrics, track ROI, and iterate based on real-world efficacy
  • Manage infrastructure as code and containerized deployments to ensure reproducible, environment-consistent releases

What You'll Bring:
  • 5-8+ years spanning data engineering and data science/ML, with a demonstrated track record of shipping models to production
  • Strong Python proficiency; experience with Spark/PySpark for large-scale data processing
  • Advanced SQL for complex transformation, analysis, and data modeling
  • Hands-on experience with cloud data platforms such as Databricks or Snowflake
  • Experience with ETL/ELT frameworks - dbt, Lakeflow Declarative Pipelines, Databricks Autoloader, Informatica, or similar
  • Familiarity with ML experiment tracking tools such as MLflow or Weights & Biases
  • DevOps fluency: Git-based development, branching strategies, CI/CD, IaC (DABs/Terraform), and Docker
  • Experience with orchestration tools such as Databricks Workflows or Apache Airflow

Strong Plus
  • Hands-on experience with LLMs and Generative AI techniques in a production context (prompt engineering, RAG architectures, fine-tuning, or evaluation frameworks)
  • Experience building or operating ML platforms, feature stores, or model registries
  • Prior work in risk, compliance, fraud detection, or other high-stakes ML domains

We succeed together, care deeply, stay curious, and inspire trust - and we look for those qualities in the people we hire. LegitScript offers competitive compensation, flexible work options, and a team that's genuinely invested in your success. If our mission resonates with you, we'd love to hear from you.
This job description is not designed to cover or contain a comprehensive listing of all activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.
Please note that visa sponsorship is not available for this position. We cannot support international remote work.
We do not accept unsolicited applications from third-party recruiters or agencies for this job posting. Any candidate submission without a prior agreement will be considered the property of our company, and we will not be responsible for any fees or obligations related to such submissions. We encourage interested candidates to apply directly through our official channels.

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