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Remote Data Science Jobs in Baltimore, MD (NOW HIRING)

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Master's degree in Computer Science, Data Science, or a related field required; PhD preferred. * Three (3) or more years of experience as a Data Scientist or in a similar role. * Strong experience in ...

Data Scientist

Windsor Mill, MD · On-site +1

$102K - $144K/yr

Master's degree in Computer Science, Data Science, or a related field required; PhD preferred. * Three (3) or more years of experience as a Data Scientist or in a similar role. * Strong experience in ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

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Data Software Engineer

Baltimore, MD · On-site +1

$90K - $170K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or ... Work Flexibility This role is eligible for full time remote work.

Data Scientist

Woodlawn, MD · On-site +1

$143K - $187K/yr

Forget everything you think you know about data science-this isn't just about crunching numbers! Today's data scientists leverage cutting-edge tools, machine learning, and statistical modeling to ...

Master's/Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Masters/bachelor's degree, an additional 4 years of relevant work ...

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Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

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Remote Data Science information

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
What are the most commonly searched types of Data Science jobs in Baltimore, MD? The most popular types of Data Science jobs in Baltimore, MD are:
What are popular job titles related to Remote Data Science jobs in Baltimore, MD? For Remote Data Science jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Baltimore, MD look for? The top searched job categories for Remote Data Science jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Data Science jobs? Cities near Baltimore, MD with the most Remote Data Science job openings:
Associate Director of Data Science

Associate Director of Data Science

Blend360

Columbia, MD • On-site, Remote

$58K - $59K/yr

Full-time

Posted 11 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 highly skilled and experienced Data Scientust to join our team. In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization.
  • Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists.
  • Design and implement AI solutions leveraging advanced techniques, including prompt engineering, agentic architectures, RAG, computer vision, predictive modeling, deep learning, and optimization.
  • Collaborate with stakeholders to translate business requirements into scalable data science solutions.
  • Ensure high-quality project execution, including architecture design, solution validation, deployment, and CI/CD management.
  • Mentor and guide team members, fostering growth and knowledge sharing.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
  • Maintain oversight of project timelines, resource allocation, and risk management.

Qualifications
  • 8-10 years of professional experience in Data Science, including 2-3 years in a Delivery Lead or Team Lead capacity.
  • Strong expertise in AI, including prompt engineering, agentic architectures, RAG, and computer vision.
  • Proven experience in predictive modeling, deep learning, optimization, algorithm design, and solution architecture.
  • Hands-on programming experience with Python and SQL.
  • Demonstrated leadership and team management skills.
  • Excellent problem-solving, project delivery, and business communication abilities.

Preferred Qualifications:
  • Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical/industrial engineering.
  • Project management experience and familiarity with Azure cloud infrastructure.
  • Experience with software deployment, quality assurance, CI/CD pipelines, and release cycle management.

Why Join Us:
  • Opportunity to lead cutting-edge AI projects across diverse industries.
  • Work with a collaborative, high-performing team of data scientists and engineers.
  • Influence the strategic direction of AI initiatives within the organization.

Additional Information