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Top Data Science Jobs (NOW HIRING)

Blend360

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... It is not typical for an individual to be hired at or near the top of the range and determining ...

Blend360

Data Science Manager

Columbia, MD · On-site

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... It is not typical for an individual to be hired at or near the top of the range and determining ...

Blend360

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... It is not typical for an individual to be hired at or near the top of the range and determining ...

StubHub

Data Science Manager

New York, NY · On-site

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact

Risepoint

Director, Data Science

... top drivers, trend movement, and emerging issues * Measurable improvement in at least two agreed ... D. in Computer Science, Data Science, Statistics, or a related field - or equivalent experience ...

Risepoint

OR

... top drivers, trend movement, and emerging issues * Measurable improvement in at least two agreed ... D. in Computer Science, Data Science, Statistics, or a related field - or equivalent experience ...

StubHub

Data Science Manager

New York, NY · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

The Director, Data Science will lead the team responsible for turning the data generated by the ... in top-tier ML, CV, or robotics venues (e.g., NeurIPS, ICML, CVPR, ICRA, RSS). • Experience with ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

The Director, Data Science will lead the team responsible for turning data generated by the fleet ... in top-tier ML, CV, or robotics venues (e.g., NeurIPS, ICML, CVPR, ICRA, RSS). • Experience with ...

New

Coterie Applications, Inc.

VP, Data Science

The VP, Data Science will lead Coterie's data science and research functions within the broader ... Phase 3 : Top candidates will be invited to meet with members of our Data & Analytics (DnA) team.

Mayo Clinic

Intern - Data Science

Rochester, MN · On-site

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider ... Computer Science, Information Technology, Data Science, Physics, Statistics/Biostatistics, or other ...

Mission Lane

Head of Data Science

By attracting top talent and leveraging cutting-edge technology, we're enabling people to unlock ... About the Role As the Head of Data Science, you will lead the strategic direction of data science ...

Mission Lane

Head of Data Science

Richmond, VA · On-site +1

By attracting top talent and leveraging cutting-edge technology, we're enabling people to unlock ... About the Role As the Head of Data Science, you will lead the strategic direction of data science ...

StubHub

Data Science Manager

Los Angeles, CA · On-site

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact

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Top Data Science information

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$37.5K

$122.7K

$196.5K

How much do top data science jobs pay per year?

As of May 30, 2026, the average yearly pay for top data science 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 are the key skills and qualifications needed to thrive as a Top Data Scientist, and why are they important?

To thrive as a Top Data Scientist, you need advanced proficiency in statistics, machine learning, and programming (commonly in Python or R), typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools like Pandas, NumPy, TensorFlow, and data visualization platforms, as well as experience with big data infrastructure such as Hadoop or Spark, is essential. Strong problem-solving ability, critical thinking, and effective communication skills distinguish top performers in this field. These skills and qualities are crucial for extracting actionable insights from complex datasets and driving data-driven decision-making in organizations.

What are some typical challenges a data scientist faces when working on cross-functional teams?

Data scientists often collaborate with professionals from engineering, product management, and business units, which can present challenges such as aligning on project goals, communicating complex technical findings to non-technical stakeholders, and managing differing priorities. It’s common to navigate ambiguity in data requirements or business objectives, requiring strong communication and adaptability. Building successful partnerships across functions is key to ensuring that data-driven insights are actionable and impactful.

What is a data scientist?

A data scientist is a professional who analyzes and interprets complex digital data to help organizations make informed decisions. They use techniques from statistics, computer science, and machine learning to extract insights from large datasets. Data scientists often build predictive models, visualize data trends, and communicate findings to stakeholders. Their work helps businesses optimize operations, identify new opportunities, and solve challenging problems using data-driven approaches.

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

AspectTop Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes certifications in machine learning or AIBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools are common
Work EnvironmentResearch and development teams, data science departments, often in tech or finance industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageTech companies, finance, healthcare, e-commerce, and startups focusing on predictive modeling and AIRetail, finance, healthcare, and other sectors focusing on reporting and data interpretation

Top Data Science roles focus on advanced analytics, machine learning, and predictive modeling, requiring specialized skills and higher-level credentials. Data Analysts primarily handle data reporting, visualization, and basic analysis. While both roles work with data, Top Data Science positions involve more complex modeling and algorithm development, often in tech-driven environments.

More about Top Data Science jobs
What states have the most Top Data Science jobs? States with the most job openings for Top Data Science jobs include:
What job categories do people searching Top Data Science jobs look for? The top searched job categories for Top Data Science jobs are:
Top Data Science jobs near you
Infographic showing various Top Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Manager

Data Science Manager

Blend360

Columbia, MD • On-site

$125K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice leaders, engineers, and cross-functional stakeholders to solve complex business challenges using data science and AI-driven approaches. You'll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions.
Key Responsibilities
Data Science & Analytics
  • Partner with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs.
  • Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps.
  • Leverage Machine Learning and Data Analysis to optimize marketing campaigns
  • Conduct A/B tests to improve campaign performance measure campaign effectiveness, and increase engagement and conversion rates.

AI & Generative AI Collaboration
In addition to traditional data science responsibilities, you will collaborate with AI and engineering teams to:
  • Design and implement production-grade AI solutions leveraging LLMs, transformers, retrieval-augmented generation (RAG), agentic workflows, and generative AI agents.
  • Optimize prompt design, workflows, and pipelines for performance, accuracy, and cost-efficiency.
  • Build multi-step, stateful agentic systems that utilize external APIs/tools and support robust reasoning.
  • Deploy GenAI models and pipelines in production (API, batch, or streaming) with a focus on scalability and reliability.
  • Develop evaluation frameworks to monitor grounding, factuality, latency, and cost.
  • Implement safety and reliability measures such as prompt-injection protection, content moderation, loop prevention, and tool-call limits.
  • Work closely with Product, Engineering, and ML Ops to deliver robust, high-quality AI capabilities end-to-end.
  • Develop and manage detailed project plans including milestones, risks, owners, and contingency plans.
  • Create and maintain efficient data pipelines using SQL, Spark, and cloud-based big data technologies within client architectures.
  • Collect, clean, and integrate large datasets from internal and external sources to support functional business requirements.
  • Build analytics tools that deliver insights across domains such as customer acquisition, operations, and performance metrics.
  • Perform exploratory data analysis, data mining, and statistical modeling to uncover insights and inform strategic decisions.
  • Train, validate, and tune predictive models using modern machine learning techniques and tools.
  • Document model results in a clear, client-ready format and support model deployment within client environments.

Qualifications
Required Skills & Experience
  • 5+ years of hands-on experience in Data Science, including model building and ML Ops
  • Experience in email marketing and direct marketing
  • Experience managing people
  • Proficiency in Python, SQL, and tools like Pandas, Scikit-learn, NLTK/spaCy, and Spark
  • Familiarity with digital marketing ecosystem (e.g., clickstream analytics) and recommendation systems
  • Experience deploying models via APIs or integrating them into batch processing pipelines
  • Working knowledge of cloud data platforms (e.g., AWS S3, Redshift, GCP, Azure)
  • Ability to manage data pipelines and ETL processes with a solid understanding of data engineering best practices
  • Strong communication and collaboration skills, including experience engaging directly with clients

Preferred Qualifications
  • Exposure to ML Ops tools such as MLflow, Kubeflow, or SageMaker
  • Experience working in Agile environments with cross-functional teams

Additional Information
The starting pay range for this role is $125,000 - $160,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

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