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Freelance Data Science Mentor Jobs in Silver Spring, MD

Data Science SME Mid

Springfield, VA · On-site

$125 - $150/hr

Why This Role Matters This is a strong fit for a cleared Data Science professional who enjoys teaching, mentoring, and helping analysts build practical tradecraft skills. You will support course ...

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Why This Role Matters This is a strong fit for a cleared Data Science professional who enjoys teaching, mentoring, and helping analysts build practical tradecraft skills. You will support course ...

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data ... Mentor and guide team members, fostering growth and knowledge sharing. * Communicate complex ...

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data ... Mentor and guide team members, fostering growth and knowledge sharing. * Communicate complex ...

Mentor junior staff in data science and software development best practices.Contribute to technical responses for data science proposals. Minimum Technical RequirementsS. citizenship and ability to ...

Mentor junior staff in data science and software development best practices.Contribute to technical responses for data science proposals. Minimum Technical RequirementsS. citizenship and ability to ...

Mentor junior staff in data science and software development best practices. * Contribute to technical responses for data science proposals. Minimum Technical Requirements * S. citizenship and ...

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Showing results 1-20

Freelance Data Science Mentor information

See Silver Spring, MD salary details

$42.9K

$147.3K

$207.8K

How much do freelance data science mentor jobs pay per year?

As of Sep 9, 2026, the average yearly pay for freelance data science mentor in Silver Spring, MD is $147,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $172,100.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Data Science Mentor vs Data Scientist?

AspectFreelance Data Science MentorData Scientist
CredentialsTypically requires expertise in data science, teaching experience, and industry knowledgeRequires a degree in data science, statistics, or related fields; often with certifications
Work EnvironmentIndependent, remote, flexible schedulingUsually employed by companies, working in office or remote teams
Employer & Industry UsageFreelance platforms, individual clients, educational institutionsTech firms, finance, healthcare, and other industries
Search & Comparison IntentSeeking mentorship, coaching, or freelance teaching opportunitiesLooking for full-time or project-based data science roles

In summary, a Freelance Data Science Mentor primarily offers guidance and training on a flexible, independent basis, while a Data Scientist is typically employed full-time within organizations to develop and implement data solutions.

What are the most commonly searched types of Data Science Mentor jobs in Silver Spring, MD?

The most popular types of Data Science Mentor jobs in Silver Spring, MD are:

What are popular job titles related to Freelance Data Science Mentor jobs in Silver Spring, MD?

For Freelance Data Science Mentor jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Freelance Data Science Mentor jobs in Silver Spring, MD look for?

The top searched job categories for Freelance Data Science Mentor jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Freelance Data Science Mentor jobs?

Cities near Silver Spring, MD with the most Freelance Data Science Mentor job openings:

Infographic showing various Freelance Data Science Mentor job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $147,272 per year, or $70.8 per hour.

Full-time

Re-posted yesterday


Job description

About Sand

Sand Technologies is a global Physical AI company using data and AI to make critical industries work better. We partner with governments, cities and enterprises to improve how essential systems operate across healthcare, water, energy, telecommunications and infrastructure.

Our work delivers proven real-world impact. We have built AI systems that help manage London's water supply, supported telecom network planning across hundreds of cities, and developed digital healthcare platforms serving tens of millions of people across Africa. From intelligent command centers to AI-powered infrastructure platforms, we help organizations sense, analyze and act in complex environments.

Our people are ambitious, curious and relentlessly practical. Our teams work alongside clients in the field, solving hard problems and deploying solutions that last. With colleagues across Africa, Europe, the UK and the US, we operate across the full stack - from research and engineering to deployment and capability building.

Our mission is simple: to harness AI to solve humanity's most pressing challenges.

About the role

We are seeking an experienced Data Scientist to join our growing data science team. As a key contributor, the Data Scientist will be responsible for using their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within our organisation and those of our clients. The ideal candidate will have a strong background in statistics, machine learning and data analysis, along with a proven track record of delivering impactful, scalable solutions - with demonstrated experience getting data science solutions into production. Key responsibilities are:

  • Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources.
  • You are skilled in, and continue to improve upon your knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies.
  • Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into scalable products and services.
  • Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences.
  • Perform cutting edge research in Physical AI, at the intersection of engineering models and AI.
  • Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation.
Requirements - Essential
  • 3+ years of applied data science experience in water, wastewater, utilities, or smart infrastructure environments.
  • Demonstrated experience working with operational telemetry data (SCADA, AMI, IoT, sensor systems).
  • Strong expertise in time-series modeling, anomaly detection, and forecasting for infrastructure systems.
  • Experience applying geospatial analytics and/or graph/network modeling in real-world systems.
  • Proven track record of deploying ML solutions into production, including data pipelines, MLOps, and model monitoring.
  • Ability to translate advanced analytics into actionable insights for engineering and operations teams.
  • Strong communication skills and experience working with public-sector or regulated environments.
  • M.Sc. (Master's degree) in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field required; PhD preferred.
Location

This role is not a remote position. We would require our Data Scientist to be able to travel to client sites in Baltimore 3-4 days a week minimum.

Personal Attributes
  • Client Centricity & Integrity: We let Our Clients Run the Company, Surf Like Yvon Chouinard to stay true to our values, and Play the Long Game with integrity.
  • Collaboration and Inclusion: We live by Each One, Teach Ten and ensure Everybody is Welcome.
  • Operational Excellence and Simplicity: We K.I.S.S. by keeping things simple while always striving to Raise the Bar.
  • Action, Ownership, and Execution: We Decide, Get Stuff Done, and Do Hard Things with accountability.
  • Growth, Innovation, and Resilience: We Choose Growth, Pioneer boldly, and remember There is No Failure.

Due to the considerable amount of virtual work and interaction with colleagues and customers in different physical locations internationally, it is essential that the successful applicant has the drive and ethics to succeed in working in small teams physically but in larger efforts virtually. Self-drive to communicate constantly using web collaboration and video conferencing is essential.