What Jobs are available for Data Scientist in Baltimore?

In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
**Job Description:**
Parsons is looking for an amazingly talented **Data Scientist** to join our team! In this role you will get to **make an impact on the future success of the U.S. Cyber Command.**
**What You'll Be Doing:**
+ Design, develop, and maintain robust and scalable data pipelines for enterprise AI applications including defining appropriate data model concepts
+ Develop high-performance data parsers for extremely large and complex datasets
+ Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases
+ Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models
+ Ensure data quality, integrity, and security across all data storage solutions
+ Support the deployment and maintenance of AI applications by providing expert data engineering capabilities
+ Familiarity with AI concepts in the context of data storage, access, and retrieval
+ Continuously optimize data infrastructure for performance, cost-efficiency, and scalability
**What Required Skills You'll Bring:**
+ Active TS/SCI with Polygraph
+ Bachelor's degree in a relevant technical field with 8 years of experience; Master's degree in a relevant technical field with 5 years of experience; 4 years additional experience will be considered in lieu of degree
+ Advanced proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala)
+ Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale enterprise environments
+ Proven experience with corporate dataflows and developing data parsers for extremely large datasets
+ Extensive experience with various database technologies including graph databases (e.g., Neo4j), SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and vector databases
+ Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing
**What Desired Skills You'll Bring:**
+ Experience with data governance, data security, and compliance best practices
+ Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
+ Experience with data warehousing concepts and tools
+ Continuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements
+ Understanding of machine learning concepts and their implications for data infrastructure
+ Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
+ Ability to translate complex data requirements into actionable engineering solutions
**Security Clearance Requirement:**
An active Top Secret SCI w/Polygraph security clearance is required for this position.
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $120,800.00 - $217,400.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to .
About Us
Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.
For more about Parsons, visit parsons.com and follow us on Facebook, Twitter, LinkedIn, and YouTube.

In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
**Job Description:**
Parsons is looking for an amazingly talented **Data Scientist** to join our team! In this role you will get to **make an impact on the future success of the U.S. Cyber Command.**
**What You'll Be Doing:**
+ Design, develop, and maintain robust and scalable data pipelines for enterprise AI applications including defining appropriate data model concepts
+ Develop high-performance data parsers for extremely large and complex datasets
+ Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases
+ Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models
+ Ensure data quality, integrity, and security across all data storage solutions
+ Support the deployment and maintenance of AI applications by providing expert data engineering capabilities
+ Familiarity with AI concepts in the context of data storage, access, and retrieval
+ Continuously optimize data infrastructure for performance, cost-efficiency, and scalability
**What Required Skills You'll Bring:**
+ Active TS/SCI with Polygraph
+ Bachelor's degree in a relevant technical field with 10 years of experience OR Masters degree relevant technical field with 8 years of experience; 4 years additional experience will be considered in lieu of Bachelor's degree
+ Advanced proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala)
+ Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale enterprise environments
+ Proven experience with corporate dataflows and developing data parsers for extremely large datasets
+ Extensive experience with various database technologies including graph databases (e.g., Neo4j), SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and vector databases
+ Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing
+ Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
+ Ability to translate complex data requirements into actionable engineering solutions
**What Desired Skills You'll Bring:**
+ Experience with data governance, data security, and compliance best practices
+ Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
+ Experience with data warehousing concepts and tools
+ Continuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements
+ Understanding of machine learning concepts and their implications for data infrastructure
**Security Clearance Requirement:**
An active Top Secret SCI w/Polygraph security clearance is required for this position.
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $120,800.00 - $217,400.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to .
About Us
Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.
For more about Parsons, visit parsons.com and follow us on Facebook, Twitter, LinkedIn, and YouTube.

Our client is seeking a highly skilled Senior Data Scientist to drive innovation through data-driven insights and advanced analytics. This is a fully remote position, offering the flexibility to work from your preferred location. The successful candidate will be instrumental in designing, developing, and deploying sophisticated machine learning models and analytical solutions to address complex business challenges. You will work with large, diverse datasets, applying statistical modeling, machine learning algorithms, and data mining techniques to uncover trends, predict outcomes, and generate actionable recommendations. Responsibilities include collaborating with stakeholders to define analytical requirements, performing exploratory data analysis, feature engineering, model selection, validation, and implementation. A strong foundation in statistics, machine learning, and programming is essential. The ideal candidate will have a Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or Physics, with a proven track record of delivering impactful data science projects. Expertise in Python or R, along with experience in SQL, big data technologies (e.g., Spark), and cloud platforms (e.g., AWS, Azure), is required. We are looking for an individual with exceptional problem-solving abilities, excellent communication skills, and the capacity to mentor junior data scientists in a remote-first setting. You will play a key role in shaping the company's data strategy and driving data-informed decision-making across the organization. This is a unique opportunity to work on challenging problems and contribute to cutting-edge research and development.
Responsibilities:

• Develop and deploy advanced machine learning models and analytical solutions.
• Analyze large and complex datasets to identify trends, patterns, and insights.
• Design and implement statistical models and data mining techniques.
• Collaborate with business stakeholders to understand needs and define analytical projects.
• Perform feature engineering, model selection, and validation.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to best practices.
• Stay current with the latest advancements in data science and machine learning.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist or in a similar analytical role.
• Proven experience in building and deploying machine learning models.
• Proficiency in Python or R and relevant data science libraries.
• Strong knowledge of SQL and experience with big data technologies (e.g., Spark).
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and manage projects in a remote environment.

Our client, a rapidly growing technology firm, is looking for an exceptional Lead Data Scientist to spearhead our advanced analytics initiatives. This role is integral to transforming raw data into actionable insights that drive business strategy and product innovation. You will lead a team of talented data scientists, guiding them through complex modeling projects and ensuring the delivery of high-quality, impactful solutions. The ideal candidate possesses a strong blend of technical expertise in machine learning and statistical modeling, coupled with excellent leadership and communication skills.

Responsibilities:

• Lead and mentor a team of data scientists, fostering a collaborative and innovative environment.
• Design, develop, and deploy sophisticated machine learning models and algorithms to address business challenges.
• Identify opportunities to leverage data for business growth, process improvement, and competitive advantage.
• Collaborate with stakeholders across various departments (product, marketing, engineering) to understand their data needs and translate them into analytical projects.
• Perform in-depth data analysis, feature engineering, and model validation.
• Develop and maintain robust data pipelines and analytical frameworks.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Contribute to the development of the company's data strategy and vision.
• Ensure the ethical and responsible use of data and AI.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science, with a proven track record of leading successful analytics projects.
• Expertise in machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Strong understanding of data manipulation, data warehousing, and data visualization tools.
• Excellent problem-solving and critical-thinking abilities.
• Demonstrated leadership and team management skills.
• Exceptional communication and presentation skills.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

This position is based in Baltimore, Maryland, US , and will operate on a hybrid work model, requiring a balance of remote flexibility and in-office collaboration.

Our client, a cutting-edge analytics firm, is looking for a motivated and intellectually curious Junior Data Scientist to join their dynamic team on a remote internship basis. This is an excellent opportunity for students or recent graduates to gain hands-on experience in data analysis, machine learning, and statistical modeling. You will work under the guidance of senior data scientists, assisting with data cleaning, feature engineering, model development, and performance evaluation. The ideal candidate will possess a strong foundation in mathematics, statistics, and computer science, with proficiency in programming languages such as Python or R. You will contribute to various projects, helping to extract actionable insights from complex datasets and support data-driven decision-making. This role requires a keen analytical mind, a problem-solving attitude, and the ability to learn quickly and adapt to new technologies. The internship program is designed to provide comprehensive training and exposure to real-world data science challenges. This position is conceptually based in Baltimore, Maryland, US , but is fully remote, offering flexibility and remote collaboration opportunities.

Responsibilities:

• Assist in data cleaning, preprocessing, and feature engineering.
• Support the development and implementation of machine learning models.
• Perform statistical analysis and interpret data to identify trends and patterns.
• Collaborate with senior data scientists on project tasks.
• Assist in evaluating model performance and generating reports.
• Learn and apply new data science techniques and tools.
• Contribute to data visualization and presentation of findings.
• Participate in team meetings and brainstorming sessions.

Qualifications:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Solid understanding of statistical concepts and machine learning algorithms.
• Proficiency in Python or R, including relevant libraries (e.g., pandas, scikit-learn, TensorFlow).
• Familiarity with SQL and database querying.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Eagerness to learn and a proactive attitude.
• Prior project experience or coursework in data analysis is a plus.

Our client is seeking an enthusiastic and motivated Junior Data Scientist to join their innovative analytics team based in Baltimore, Maryland, US . This internship offers an unparalleled opportunity for aspiring data scientists to gain hands-on experience in a professional setting, working on real-world data challenges. You will be mentored by experienced data scientists and work collaboratively on projects that involve data cleaning, exploration, modeling, and visualization. This role is perfect for someone eager to apply their academic knowledge to practical business problems and learn cutting-edge data science techniques.

As a Junior Data Scientist, you will assist in gathering and preparing data from various sources, performing exploratory data analysis to uncover trends and patterns, and contributing to the development and testing of machine learning models. You will also be involved in creating insightful reports and visualizations to communicate findings to both technical and non-technical stakeholders. The ideal candidate will have a strong foundation in statistical concepts, programming skills, and a keen interest in machine learning and artificial intelligence.

Key Responsibilities:

• Assist in collecting, cleaning, and transforming large datasets from diverse sources.
• Perform exploratory data analysis (EDA) to identify significant trends, patterns, and anomalies.
• Support the development, training, and evaluation of predictive models and machine learning algorithms.
• Create clear and concise data visualizations and reports to present findings.
• Collaborate with senior data scientists and cross-functional teams on project tasks.
• Contribute to the documentation of data science processes and methodologies.
• Stay updated on the latest advancements in data science and machine learning techniques.
• Assist in A/B testing and other experimental designs to validate hypotheses.
• Learn and apply best practices in data management and ethical data usage.

Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Solid understanding of statistical concepts and methods.
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Basic knowledge of SQL for data querying.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Eagerness to learn and adapt in a fast-paced environment.
• Prior internship or project experience in data analysis is a plus.

This is an excellent opportunity for students seeking practical experience in the field of data science. Join our team in Baltimore, Maryland, US and kickstart your career in this exciting domain.

Our client is launching an exciting Graduate Data Scientist program, designed for aspiring professionals eager to dive into the world of data analytics and machine learning. This is a fully remote opportunity, allowing talented individuals from across the country to join our innovative team. As a Graduate Data Scientist, you will work on challenging projects under the guidance of experienced mentors, developing practical skills in data mining, statistical analysis, predictive modeling, and data visualization. You will be involved in the entire data science lifecycle, from data collection and cleaning to model development, evaluation, and deployment. Key responsibilities will include assisting in the design and implementation of machine learning algorithms, conducting exploratory data analysis to uncover insights, and building dashboards and reports to communicate findings to stakeholders. This role requires a strong foundation in programming languages such as Python or R, familiarity with SQL, and a solid understanding of statistical principles and machine learning concepts. Excellent problem-solving abilities and a keen analytical mindset are essential. A recent graduate with a Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field is ideal. While this is an entry-level position, a demonstrated passion for data science through academic projects, personal projects, or relevant internships is highly valued. This remote role offers unparalleled flexibility and the chance to learn and grow within a supportive and collaborative virtual environment. You will gain invaluable hands-on experience and contribute to real-world data-driven solutions, making this a perfect launchpad for your career in data science.

Our client is offering an exciting internship opportunity for a motivated Junior Data Scientist to join their innovative team in Baltimore, Maryland, US . This program is designed for individuals who are passionate about leveraging data to uncover insights and drive business decisions. As a Junior Data Scientist intern, you will work closely with experienced data scientists on real-world projects, gaining hands-on experience in data cleaning, analysis, statistical modeling, and machine learning. This internship is an excellent platform to build a strong foundation in data science and contribute to meaningful projects within a supportive and collaborative environment.

Responsibilities:

• Assist in collecting, cleaning, and processing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development and implementation of statistical models and machine learning algorithms.
• Contribute to the visualization of data and findings using tools like Matplotlib, Seaborn, or Tableau.
• Collaborate with senior data scientists and cross-functional teams on data-related tasks.
• Document methodologies, findings, and project progress.
• Learn and apply new data science techniques and tools.
• Participate in team meetings and contribute to brainstorming sessions.
• Help prepare reports and presentations summarizing analytical results.

Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Foundational knowledge of statistical concepts and machine learning algorithms.
• Proficiency in programming languages such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools.
• Basic understanding of database querying (SQL).
• Strong analytical and problem-solving skills.
• Eagerness to learn and a proactive attitude.
• Good communication and teamwork abilities.

This internship provides invaluable practical experience in the rapidly growing field of data science and offers a potential pathway to future full-time opportunities with our client.

Our client is excited to welcome ambitious and bright Graduate Data Scientists to join our innovative team in Baltimore, Maryland, US . This is an exceptional opportunity for recent graduates with a strong academic background in quantitative fields such as computer science, statistics, mathematics, or a related discipline. You will be immersed in real-world data challenges, working alongside experienced data scientists to develop and implement advanced analytical models. The role involves data cleaning, feature engineering, model training, and validation, contributing to projects that drive business insights and product innovation. You will gain hands-on experience with various machine learning algorithms, statistical techniques, and data visualization tools. Collaboration with cross-functional teams, including engineers and product managers, will be integral to understanding business requirements and translating them into data-driven solutions. This position is designed to provide comprehensive training and mentorship, fostering professional growth and development within a supportive environment. The ideal candidate demonstrates strong programming skills in Python or R, proficiency with SQL, and a solid understanding of statistical concepts and machine learning principles. Curiosity, a passion for problem-solving, and a proactive approach to learning are highly valued. Our client is at the forefront of technological advancement and is committed to nurturing the next generation of data science talent. This internship offers a fantastic platform to launch your career, build your professional network, and contribute to impactful projects. You will have the opportunity to work with diverse datasets and tackle challenging analytical problems that have a real business impact. The collaborative atmosphere at our Baltimore office encourages knowledge sharing and continuous improvement.