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Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Overview

We are looking for seasoned Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

Contributions

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

Ability to hold a position of public trust with the US government.

5+ years industry experience developing ML/AI solutions and a passion for solving complex problems.

3+ years direct experience in Data Modeling and Data Solution Development

1+ year performing queue modeling and survival analysis

Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline

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

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. 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.