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Data Science Jobs in Silver Spring, MD (NOW HIRING)

TULK llc.

Data Science SME Mid

Springfield, VA · On-site

$115 - $157.94/hr

Data Science SME Mid Full Time Client Site - Springfield, VA, Springfield, VA, US 8 days ago Requisition ID: 1763 Salary Range: $115,000.00 To $157,938.00 Annually Data Science SME Mid TULK supports ...

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teKnoluxion

Data Science Analyst

Springfield, VA · On-site

$132K - $159K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly At Bcore, our strength comes from how we deliver impact to the ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

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 ...

Blend360

Marketing Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

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 ...

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Data Science SME Mid TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect ...

Integral

Software Developer

Picatinny Arsenal, NJ

Bachelor's Degree in computer science or an IT-related degree with 7 years of experience * Possesses any one of the following IAT I Certifications: A+ CE, CCNA-Security, CND, Network+ CE, or SSCP

Blend360

Associate Director of Data Science

Columbia, MD · On-site

$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 ...

Blend360

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 ...

Bytoa

Data Science Software Engineer

Columbia, MD · On-site

$185 - $200/hr

Join us as a Data Scientist supporting a high-impact mission. We are looking a motivated and mission-driven engineer and scientist to help develop and shape how SIGINT data is processed, modeled, and ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Silver Spring, MD

Data Science information

See Silver Spring, MD salary details

$38.6K

$126.5K

$202.5K

How much do data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science in Silver Spring, MD is $126,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,200.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

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

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

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

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

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

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,496 per year, or $60.8 per hour.

Data Science Associate

Granules Pharmaceuticals

Chantilly, VA • On-site

$65K - $68K/yr

Full-time

Posted 13 days ago

Job description

Job Type
Full-time
Description
Granules Pharmaceuticals Inc., (GPI) is a subsidiary of Granules India LTD. Over the past 34 years, we have worked towards strengthening our core and we are currently the 10th fastest growing generic pharma company in the US! With our sites in Chantilly and Manassas, Virginia, we have R&D through manufacturing and packaging of our medicines including pulsatile drug release in tablet and capsule dosage form, orally disintegrating modified release tablets (XR, MR, ER), modified release suspension and controlled substances capabilities in an abuse deterrent technology platform. We are dedicated to excellence in manufacturing, quality, and commercialization of generic drugs to give customers reliable and affordable options. The Facility Maintenance Technician is responsible for carrying out necessary equipment, buildings and ground repairs (i.e., Boilers, chillers, compressors) including facility PMs, and utility operations associated with our facilities. Ensure the continued efficient operation of Granules Pharmaceuticals Inc. by providing service and support to all equipment, and all manufacturing areas in order to keep our facilities in compliance with GMP standards.
Responsibilities include but not limited to:
  • Conduct exploratory data analysis to identify trends, patterns, and improvement opportunities.
  • Perform data cleaning and preprocessing to prepare datasets for modeling and reporting.
  • Build and evaluate predictive models to support decision-making across operations.
  • Create dashboards and reports for data storytelling to communicate insights to business stakeholders.
  • Collaborate with cross-functional teams on data pipeline integration and analytics enablement.
  • Provide data-driven recommendations that improve operational efficiency, accuracy, and business outcomes.
  • Assist in analytics tasks related to system implementations, process changes, or technology upgrades.

Requirements
Required Experience & Education
  • Master's Degree in Data Science, Analytics, Statistics, Computer Science, or a related quantitative field preferred
  • Bachelor's Degree in a STEM discipline with strong analytical coursework (required)
  • Coursework or academic projects in machine learning, statistics, data engineering, optimization, or operations analytics.
  • Exposure to cloud computing, database systems, or business analytics is a plus.
  • Capstone, thesis, or applied research demonstrating hands-on data work is strongly preferred.

Required Knowledge & Skills
  • Curiosity & Learning Mindset - eagerness to explore new tools, methods, and business domains.
  • Communication - explaining technical concepts to non-technical stakeholders.
  • Analytical Thinking - ability to break down complex problems into structured analytical steps.
  • Machine Learning Fundamentals - regression, classification, clustering, model evaluation, and basic time-series concepts.
  • Database Concepts - relational databases, SQL querying, joins, indexing, and basic data modelling.
  • Cloud & Modern Data Platforms - familiarity with AWS, Azure, or GCP services for analytics
  • Business & Operational Understanding - ability to interpret data in the context of business processes, KPIs, and operational goals.

Salary Description
$65K-$68K

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