Evolver Federal is seeking an experienced Data Scientist to support a federal customer. Data Scientists determine what questions an organization or team should be asking and help them figure out how to answer those questions using data. The ideal candidate will n develop predictive models used to theorize and forecast patterns and outcomes and develop predictive models used to theorize and forecast patterns and outcomes for the customer.

Responsibilities

• Find patterns and trends in datasets to uncover insights.
• Create algorithms and data models to forecast outcomes.
• Use machine learning techniques to improve the quality of data or product offerings.
• Communicate recommendations to other teams and senior staff.
• Deploy data tools such as Python, R, SAS, or SQL in data analysis
• Stay on top of innovations in the data science field.
• Researching AI and ML use cases - assess the viability of ML to achieve tangible business outcomes and determine whether the business problem even calls for an AI solution.
• Work closely with data engineers by serving as advisors in the building of data lakes, warehouses, and Lakehouses.
• Observing patterns and anomalies from the refined data collected
• Researching AI and ML use cases catered to the different business domains and defining success criteria (in consultation with the ML architect).
• Machine learning development and tuning
• Perform data labeling activities providing context to raw data to help support the development of machine learning models

Basic Qualifications

• Bachelor's Degree in artificial intelligence, machine learning, computer science, data science, or mathematics
• More than five years of experience with deep knowledge of ML frameworks
• 5 years of experience with the following programming languages: Python, R, SQL, SAS, Jupyter Notebooks
• 5 years experience with Data Visualization: Tableau, Power BI
• 3 years experience with machine learning including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow.
• 5 years experience with Big Data, ETL pipeline, Data Warehouse
• 3 years experience with cloud technologies; particularly AWS SageMaker
• US Citizen with ability to pass a DHS specific clearance

Preferred Qualifications

• Machine learning experience to include: feature extraction statistical approaches, linear and non-linear classifiers, and deep learning. ML model learning and training, hyperparameter configuration and fine tuning the ML model.
• Define use-case-specific domain and ML transformation and data selection rules for data engineers and define the ease of data accessibility.
• 5 years experience with machine learning including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow.
• Have a strong understanding of algorithms such as linear regression, logistic regression, regularization, decision trees, clustering algorithms, and matrix factorization techniques.
• Deep knowledge of cloud technologies
• Knowledge of Cyber Security Frameworks; NIST 800-53, SANS Top 20, OWASP Top 10
• Understand Machine Learning Operations (MLOps) practices, including DevOps principles such as IaC, containerization and CI/CD pipelines
• Well organized with ability to communicate complex topics effectively across teams

Evolver Federal is an equal opportunity employer and welcomes all job seekers. It is the policy of Evolver Federal not to discriminate based on race, color, ancestry, religion, gender, age, national origin, gender identity or expression, sexual orientation, genetic factors, pregnancy, physical or mental disability, military/veteran status, or any other factor protected by law.