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Data Science Machine Learning Jobs in Lexington Park, MD

Autodesk

Data Engineer

California, MD · On-site

$86K - $153.67K/yr

Collaborate with data scientists, machine learning engineers, analysts, platform engineers, and business stakeholders to understand requirements and deliver effective solutions * Tune database and ...

ManTech International

Data Scientist

Patuxent River, MD · On-site

$91.60K - $153.80K/yr

As a Data Scientist on our team, you will play a key role in developing advanced Dashboard ... Apply data mining, data modeling, natural language processing, and machine learning to extract and ...

ManTech

Data Scientist

Lexington Park, MD · Hybrid

$91.60K - $153.80K/yr

As a Data Scientist on our team, you will play a key role in developing advanced Dashboard ... Apply data mining, data modeling, natural language processing, and machine learning to extract and ...

Booz Allen Hamilton

Data Scientist

Lexington Park, MD

$77.60K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton

Data Scientist

Lexington Park, MD · On-site

$77.60K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton

Data Scientist

Lexington Park, MD · On-site

$77.60K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton

Data Scientist

Lexington Park, MD · On-site

$77.60K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton

Data Scientist

Lexington Park, MD

$77.60K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l ...

Booz Allen Hamilton

Data Scientist

Lexington Park, MD · On-site

$77.60K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l ...

Booz Allen Hamilton

Data Scientist

Lexington Park, MD · On-site

$77.60K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l ...

Booz Allen Hamilton

Data Scientist

Lexington Park, MD · On-site

$77.60K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

Booz Allen Hamilton

Data Scientist

Lexington Park, MD

$77.50K - $176K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Lexington Park, MD

Data Science Machine Learning information

See Lexington Park, MD salary details

$36.4K

$119.2K

$190.8K

How much do data science machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for data science machine learning in Lexington Park, MD is $119,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What cities near Lexington Park, MD are hiring for Data Science Machine Learning jobs? Cities near Lexington Park, MD with the most Data Science Machine Learning job openings:
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Lexington Park, MD as of May 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 53% Physical, 4% Hybrid, and 43% Remote job distribution, with an average salary of $119,179 per year, or $57.3 per hour.
Data Engineer

Data Engineer

Autodesk

California, MD • On-site

$86K - $153.67K/yr

Full-time

Posted 6 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 184 rated software companies

Job description

Job Requisition ID #

26WD97843

Position Overview

We are looking for a Data Engineer to design, build, maintain, monitor, integrate, and test scalable data pipelines in production.

In this role, you will partner with Machine Learning Engineering, Platform Engineering, Data Analysts, and other stakeholders to deliver data pipelines that support specific business needs. Your work will contribute to strategic initiatives such as optimizing digital conversion metrics and supporting Autodesk Assistant, an LLM-driven chatbot designed to answer customer inquiries.

Our culture is built on collaboration, mutual support, and continuous learning. We encourage hands-on technical problem-solving, knowledge sharing, and ongoing personal development.

Responsibilities

  • Design, build, and maintain scalable data pipelines that support continuous data flow, analytics, and machine learning use cases

  • Develop and implement data models and schemas to ensure data integrity, accessibility, and usability

  • Manage and optimize relational and NoSQL database systems for performance and availability

  • Integrate data from multiple sources while ensuring consistency, quality, and reliability

  • Design and manage ETL processes to move and transform data across systems

  • Implement data governance practices to support data security, privacy, and compliance

  • Collaborate with data scientists, machine learning engineers, analysts, platform engineers, and business stakeholders to understand requirements and deliver effective solutions

  • Tune database and pipeline performance for efficient processing and querying of large datasets

  • Maintain clear documentation for data processes, models, architecture, and operational workflows

  • Partner with internal platform teams to build reliable, scalable, and reusable data solutions

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience

  • Experience programming in Python, Java, Scala, or a similar language

  • Strong SQL skills and experience working with relational databases such as MySQL or PostgreSQL

  • Experience with NoSQL databases such as MongoDB, Cassandra, or similar technologies

  • Understanding of data modeling, data architecture, and ETL processes

  • Experience with big data technologies and frameworks such as Kafka, Flink, Parquet, Iceberg, or similar tools

  • Experience using workflow orchestration or ETL tools such as Apache Airflow

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud

  • Familiarity with cloud data services such as AWS Glue, EMR, Redshift, S3, BigQuery, or similar

  • Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery

  • Experience with version control systems such as Git and CI/CD pipelines

Preferred Qualifications

  • Experience in customer journey analytics, personalization, or digital conversion optimization

  • Familiarity with machine learning concepts and experience collaborating with data science or machine learning teams

  • Knowledge of real-time data processing and streaming architectures

  • Experience with Docker, Kubernetes, or other containerization and orchestration technologies

  • Relevant certifications in big data technologies, cloud platforms, or database management

  • Master's degree in Computer Science, Data Engineering, Information Technology, or a related field

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $86,000 and $153,670. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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