Data Science & Machine Learning Jobs

A technology consulting firm specializing in data analytics, artificial intelligence, and software implementation is seeking a Data Scientist.. Mid-sized software company is seeking a Data Scientist to contribute to the growth of their Machine Learning Engineer capabilities.. Proficiency with Python, TensorFlow, PyTorch, Pandas, Keras. Deployment of models into production, Docker / Kubernetes. Software Development with JavaScript, React, or Typescript

Advanced knowledge of AI/ML, NLP and Generative AI technologies, frameworks, and solutions.. Proficiency of existing and emerging trends within the AWS cloud environment. Expert proficiency in Python data science development.. Advanced experience with Natural Language Processing (NLP) techniques like Text Normalization, Named Entity Recognition, and Part-of-Speech (POS).. Specific experience: popular AI/ML frameworks such as Transformer, Scikit-learn, SpaCy, XGBoost.

Advanced knowledge of AI/ML, NLP and Generative AI technologies, frameworks, and solutions.. Proficiency of existing and emerging trends within the AWS cloud environment. Expert proficiency in Python data science development.. Advanced experience with Natural Language Processing (NLP) techniques like Text Normalization, Named Entity Recognition, and Part-of-Speech (POS).. Specific experience popular AI/ML frameworks such as Transformer, Scikit-learn, SpaCy, XGBoost.

Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).. Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including but limited to: Python, R, Scala, or equivalent; Spark/PySpark; Hadoop file system; GPU-based computing systems. Analytical Abilities: Demonstratable strong knowledge in the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.. Technical Knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc. In-depth familiarity with industry-specific data domains—including geospatial/GIS layers, remote sensing and imagery, AMI/MDMS billing data, real-time SCADA/telemetry feeds, outage or distribution management systems (OMS/DMS), work management and asset management datasets.

ZwillGen is a boutique law firm representing some of the biggest names in technology on a wide range of internet-related legal issues, including cybersecurity, privacy, government surveillance, alternative data, litigation, and fantasy sports.. In this position, youll help craft technically-sound AI and data governance practices as well as test whether companies have effectively implemented model validation, bias mitigation, deidentification, and other quantitative methods of assessing AI integration into commercial products and services.. Strong proficiency in Python data science stack (e.g., NumPy, Pandas, scikit-learn) for quantitative analysis and experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, etc. Hands-on experience training or fine-tuning LLMs using libraries like PyTorch or TensorFlow.. Experience with LLM evaluation, prompt engineering, and explainability techniques.

Data Scientist with Active TS/SCI Clearance. - Hands-on experience implementing, training, and evaluating deep learning models with familiarity of adversarial, semi-supervised, and generative architectures. - Hands-on experience working with Torch, TensorFlow, and similar machine learning frameworks.. - Experience executing data science methods using Python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization. - Experience or exposure using Python libraries such as pandas, NumPy, GeoPandas, requests, urlib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, NLTK, spaCy, Gensim

Under the direction of the Director of Data Science Analytics and aligned with department and firmwide objectives, and priorities, the Senior Data Scientist plays an active role in and contributes to improving firm strategy, delivery of legal services, and operations using data science tools and techniques. Hands on expertise with data management tools and methods: fluent in Python, R, and T-SQL. Experience with Azure Cognitive Services, AWS, Tableau, Power BI, And Posit Workbench / Posit Connect a plus. Experience with machine learning and AI; reputation as a thought leader in the data science/machine learning/Artificial Intelligence community a plus. Industry-leading parental leave and family benefits including adoption and fertility treatment options and backup child and elder care.

Citian is a fast growing, venture backed SaaS technology company based in Washington, DC. Our software solutions revolutionize how our transportation systems roads, rail, transit, bicycle, pedestrian operate. Citian is seeking to hire a Transportation Data Scientist who will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning. The ideal candidate will exhibit excellent knowledge of the data science and data engineering disciplines with transportation industry experience, including working with large datasets in a Python/SQL environment. Strong knowledge of Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc. Opportunity to gain valuable experience and make a significant impact in a fast growing, venture-backed tech startup

Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.. Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.. Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure.

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community.. Lead the design, development, testing, and documentation of software code and data pipelines (batch and streaming) for data extraction, ingestion, transformation, cleaning, correlation, and analytics.. 7+ years of experience bringing databases, data integration, and data analytics/ML technologies to production with a Bachelor’s degree in Computer Science/Data Science/Computer Engineering or relevant field, or 4+ years of experience with a PhD/MS.. Experience with PostgreSQL, ElasticSearch, MongoDB, and graph databases.. Experience with one or more SQL-on-Hadoop technology (Spark SQL, Hive, Impala, Presto, etc.)

As Software Engineer III at Fanatics Betting & Gaming (FBG) with a focus on AI and Machine Learning, you will lead technical initiatives that leverage advanced AI and data-driven systems to transform customer operations into a market differentiator.. Deep expertise with cloud technologies (AWS highly preferred), specifically AWS Bedrock, Redshift, MongoDB, and S3.. Advanced proficiency in Python, SQL, and orchestration tools such as Airflow or Prefect, managing sophisticated AI-driven workflows.. Strong front-end development experience using modern frameworks (React, Angular, Vue) and deep familiarity with UI/UX design principles.. Experience building front-end applications using modern frameworks (React, Angular, Vue) and familiarity with UI/UX design principles.

Strong foundation in Data Engineering and Enterprise Data Management best practices. Implement GraphRAG solutions, ontologies, and tools like Databricks using Python (NumPy, Pandas, PySpark), SQL, Scala, and SPARQL to prepare and connect data for AI at scale.. Design and deploy GenAI and Agentic frameworks (LangChain, LangGraph, Hugging Face, CrewAI) and ML solutions (TensorFlow, Keras, PyTorch, Spark NLP).. Stay current and apply best practices in Semantic Web, GenAI, Data Engineering, and AI/ML toolkits (SpaCy, Scikit-learn, Neo4j, AWS GovCloud, Google FedRamp) for scalable, secure, and explainable solutions.. Proven experience as a Data & AI Engineer with strong Data Engineering expertise, including programming in Python, SQL, Scala, and SPARQL, and working with knowledge graphs and AI/ML frameworks.

This unique role combines deep expertise in data engineering and data science with strong software engineering principles, all within the context of the Salesforce ecosystem.. Data-Driven Security Solutions: Design and implement data models and solutions that integrate security considerations, including role-based access controls and data auditing, to ensure data privacy, compliance, and governance.. 12+ years of experience in data engineering, data science, or a related software engineering role with proven track record of handling large scale data warehouse and critical workloads supporting high throughput and low latency data pipelines.. Familiarity with containerization technologies (Docker, Kubernetes, Terraform).. Experience with stream processing and real-time analytics (with the use of tools like Tableau and CRMA)

Senior Machine Learning Engineer, Platform. In this role, you will work closely with ML Engineers and Data Scientists as well as the Data Platform and Backend Engineering teams to maximize the impact of ML. At Gametime, the modeling teams are expected to work full-stack and end-to-end.. Architect a platform that boosts overall model iteration speed and allows Machine Learning Engineers and Data Scientists to work in a self-serve manner. Hands-on experience with industry-standard tools and technologies (e.g., Kafka, Docker, gRPC, DynamoDB, Redis, Temporal, Snowflake, Airflow, SQL). Keen interest in machine learning and its associated technologies (such as PyTorch, Scikit-Learn, XGBoost, Jupyter), preferably with some practical experience

Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.. If you think of Simulation as a video game our autonomous vehicles train on to learn to drive, the Smart Agents team develops the ML/AI models that control the other characters in the video game to interact in realistic ways as the av drives-eg, the other vehicles, bikers, and pedestrians.. Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies.. Passionate about self-driving car technology and its impact on the world. Familiar with ML frameworks such as Tensorflow or PyTorch

We are seeking a highly skilled Senior ML Architect with extensive experience in designing and developing machine learning algorithms and deep learning applications, particularly for observability data (AIOps).. ML Frameworks: Extensive experience with TensorFlow, PyTorch, and scikit-learn.. Databases: Knowledge of MySQL, MongoDB, and PostgreSQL.. Architectural Designer - Hybrid Part-Time (Path to Full-Time) Year One - Junior Designer - City Design Fairfax County, VA $75,000.00-$125,000.00 3 weeks ago. Project Architect - Design and Construction Laurel, MD $72,400.00-$180,300.00 2 weeks ago

Collect, clean, and preprocess large datasets from various sources related to the industrial base, including government databases, industry reports, and open-source intelligence.. Strong proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).. Experience with data visualization tools such as Tableau, Power BI, or similar.. Data Analyst - People Analytics (Short-Term Employment) Washington, DC $124,000.00-$176,000.00 2 weeks ago. Data Analyst / Report Writer, Associate - Power BI We're unlocking community knowledge in a new way.

Your expertise in utilizing Databricks, Qlik, Tableau, Oracle, ServiceNow, Microsoft Power Suite, Python programming, data visualization, and SQL will be crucial in extracting insights from complex datasets and providing valuable recommendations to stakeholders.. Being able to work with one or more of the following: Databricks, Qlik, Tableau, ArcGIS, GitHub, Oracle, ServiceNow, Microsoft Power Suite, Python programming, data visualization, and SQL. MA/MS degree or PhD in a relevant field, including but not limited to: Data Science, Computer Science, Computational Science, Computer Engineering, Statistics, Applied Mathematics, Artificial Intelligence (AI), Machine Learning, Operations Research, Information Systems, Business Analytics.. Demonstrated proficiency in R and Python, and familiarity with other leading statistical and data analytical software and frameworks, e.g., Databricks, Qlik.. Machine Learning and AI: Microsoft Azure AI Engineer Associate or Azure Data Scientist Associate; AWS Certified Machine Learning Specialty; Google Professional Machine Learning Engineer or Databricks equivalent

We are seeking a highly skilled Senior IT Big Data Developer to support advanced data engineering initiatives using modern cloud and big data technologies.. Develop and maintain applications utilizing cloud-based and hybrid big data systems such as Amazon Aurora, Snowflake, Databricks, Amazon Redshift, and MS SQL Server.. Implement infrastructure as code (IaC) solutions using tools such as Terraform and AWS CloudFormation as part of a broader DevOps program.. 10+ years of experience with ETL/ELT development using tools such as: Informatica PowerCenter, Apache NiFi, Data Oracle Integrator, SSIS, IBM Infosphere, or SAP BusinessObjects Data Integrator. 10+ years of experience working with relational databases (MS SQL Server, Oracle) and NoSQL databases such as MongoDB, Cassandra, CouchDB, HBase, Cosmos DB, Oracle NoSQL

Sr Applied Scientist, Health & Wellness (Health Tech). Technically, you'll work on large-scale data processing, algorithm development, and AI agent implementation.. - Experience with neural deep learning methods and machine learning. - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.. - Experience with large scale distributed systems such as Hadoop, Spark etc.