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Manager Data Scientist Jobs (NOW HIRING)

AI Squared

Data Scientist

Washington, DC · On-site

Data Scientist Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data ... Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale ...

AI Squared

Data Scientist

Washington, DC

Data Scientist Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data ... Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale ...

AI Squared

Data Scientist

Washington, DC

Data Scientist Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data ... Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale ...

SAIC

Data Scientist

Chantilly, VA

Engineering and Sciences Subcategory: Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel ... Supports designing and managing data sets to ensure efficient data flow and interoperability with ...

Hanchey

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

Lexical Intelligence LLC

Data Scientist

Rockville, MD · On-site

$91K - $96K/yr

... manage data pipelines, develop data tables, create relevant scripts and code for analytical ... Data Science, Database, Data Visualization, Programming/software development, Statistics ...

Hanchey

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

Elder Research

Data Scientist

Springfield, VA · On-site

Data Scientist General Information Requisition #688 Locations USA-VA-Springfield Posting Date 05/29 ... Work directly with clients, managers and technical staff to understand business needs. * Develop ...

Lexical Intelligence LLC

Data Scientist

Rockville, MD · On-site

$91K - $96K/yr

... manage data pipelines, develop data tables, create relevant scripts and code for analytical ... Data Science, Database, Data Visualization, Programming/software development, Statistics ...

COLEMAN CONSULTING GROUP LLC

Data Scientist

Athens, GA · On-site +1

As a Data Scientist, you will analyze large amounts of raw data to discover patterns and insights ... These individuals make independent technical decisions, seeking advice from management as needed.

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All JobsManager Data Scientist Jobs

Manager Data Scientist information

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$46K

$165K

$243.5K

How much do manager data scientist jobs pay per year?

As of Jun 16, 2026, the average yearly pay for manager data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

How does a Manager Data Scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What are Manager Data Scientists?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.
What cities are hiring for Manager Data Scientist jobs? Cities with the most Manager Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Manager Data Scientist jobs? States with the most job openings for Manager Data Scientist jobs include:
Manager Data Scientist jobs near you
Data Scientist

Data Scientist

AI Squared

Washington, DC • On-site

Full-time

Posted 25 days ago

Job description

Data Scientist
Washington, DC (Hybrid)
About the Role:
We are looking for a highly motivated Data Scientist with a strong background in applied machine learning and AI to join our growing team. In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying state-of-the-art techniques to solve complex challenges, advance our use of large language models (LLMs), and ensure scalable, production-ready solutions.
Key Responsibilities:
  • Leverage 5+ years of experience in data science to design, implement, and optimize machine learning models and pipelines.
  • Develop, fine-tune, and evaluate large language models (LLMs) for a variety of applications, ensuring accuracy, performance, and robustness.
  • Collaborate with engineering and product teams to integrate AI/ML solutions into our platform in a scalable and maintainable way.
  • Conduct applied research, staying current on advances in LLMs, generative AI, and data science methodologies, and translate them into practical solutions.
  • Build end-to-end workflows, from data exploration and feature engineering to training, validation, deployment, and monitoring in production.
  • Apply modern containerization and orchestration techniques (e.g., Docker, Kubernetes) to support reproducible experimentation and deployment.
  • Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale training jobs, and distributed systems.
  • Collaborate across teams to ensure our AI capabilities align with platform goals and business needs.

Qualifications:
  • 5+ years of experience as a Data Scientist or Machine Learning Engineer, with proven success in deploying models to production.
  • Hands-on experience with large language models (LLMs); fine-tuning experience strongly preferred.
  • Strong background in Python and ML frameworks such as PyTorch or TensorFlow.
  • Proficiency in containerization and orchestration technologies (Docker, Kubernetes).
  • Experience with cloud platforms and ML ecosystems (Databricks, AWS, GCP, Azure).
  • Familiarity with MLOps best practices, including model deployment, monitoring, and CI/CD for ML.
  • Strong analytical and problem-solving skills, with the ability to translate research into production-ready solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively across product, engineering, and leadership teams.
  • A proactive, self-starter mindset with a passion for applied research and innovation.

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