Data Scientist

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Contributions Responsibilities Include • Experience modeling on structured and unstructured data sets • Experience with exploratory data analysis • Experience in feature engineering • Experience in data visualization • Experience with Deep Learning methodology and state of the art libraries • Knowledge of data collection methods, capabilities, and tasking process • Ability to leverage multiple data management tools to organize relevant information and make decisions • Support an Agile software development lifecycle • You will contribute to the growth of our Data Exploitation Practice! Qualifications Required: • Ability to obtain a U.S. government Security Clearance • Master's Degree and 3 years of relevant experience; OR • Bachelor's Degree and 5 years of relevant experience; OR • No degree and 9 years of relevant experience • Possesses at least one professional certification relevant to the technical service provided. Maintain a certification relevant to the product being deployed and/or maintained. • 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems. • 2-4 years direct experience in Data Modeling and Data Solution Development • 1+ year performing queue modeling and survival analysis • Demonstrated experience manipulating structured and unstructured data for analysis • Strong programming skills in SQL, Python, R, Scala, Java, or similar language • Experience using Python to manipulate large data sets • Experience with DevSecOps, as it applies to data science • Demonstrated experience with TensorFlow, Keras, or other Deep Learning tools and frameworks Preferred • Demonstrated experience in big data systems including Hadoop, Spark, Scala • Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar • Experience with Git, Bash, Unix commands • Experience in Cloud analytics (AWS, Azure, or GCP) with tools such as AWS SageMaker, Azure HDInsight, etc. • Familiarity with Flask is a plus • Knowledge of DBOps and MLOps framework is a plus • Experience with Solr, Elasticsearch, or similar tool is a plus About Steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company , we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program. Refer a Friend (https://careers-steampunk.icims.com/jobs/6590/data-scientist/job?mode=apply&apply=yes&in\_iframe=1&hashed=-336029103) Need help finding the right job? We can recommend jobs specifically for you! Job Location US-DC-Washington Posted Date 1 month ago (7/15/2025 3:55 PM) Job ID 6590 Clearance Requirement Public Trust If you have questions about this posting, please contact support@lensa.com