Data Scientist II - NLP (Part Time) with Security Clearance

---

Job description

Salary: AL, FL, GA, TN Residents: $90,015 (min) - $117,019 (mid) - $144,024 (max) NC Residents: $92,799 (min) - $120,639 (mid) - $148,478 (max) DE, MD, PA, TX, VA Residents: $97,439 (min) - $126,671 (mid) - $155,902 (max) DC Residents: $109,503 (min) - $142.354 (mid) - $175,204 (max) CA & NY Residents: $113,215 (min) - $147,179 (mid) - $181,143 (max) Note: This role is half time 20 hours per week. Salary amounts should be viewed as half the amount listed in the compensation band. Max salaries are not guaranteed due to internal equity and project budget. Location: This role is 100% remote Employment Type: Part-time (on average, 20 hours per week); this is a salary exempt role. Summary We're looking to change the world by building software with a soul, and we want your help. The Data Scientist II is proficient in building algorithms, data modeling, and building data-driven solutions that solve customer business problems. They are responsible for partnering with customers to perform statistical analysis and build machine learning models. The Data Scientist II supports prototypes and scalable production solutions to help customers make data-driven solutions. We need your Data Science skills! What other skills will help you succeed at Fearless? Glad you asked! We're excited about candidates who can accomplish the following: Responsibilities and Contributions Organizational and Leadership Role Coaches and mentors others by example and through direct coaching on machine learning and artificial intelligence skills. Takes initiative for their own growth through personal leadership. Strengthens our Data Science community and practice. Functional Role Guides team on evaluating the customer's needs, advising on both the benefits and risks of potential artificial intelligence. Facilitates customer understanding of the impact of AI on their operating model and develops their skills in and comfort with machine learning solutions. Develops custom data models, algorithms, and predictive models to perform multifaceted analysis. Builds and maintains predictive models and machine learning algorithms from the ground up to solve real-world business challenges. Stitches, calibrates, and optimizes sparse and noisy data across various data sources. Collaborates with various stakeholders and teams of stakeholders to understand business problems, help define them into KPIs, and deliver insightful analysis in reports or visualizations. Conducts regular, ad-hoc data and analysis needs to better understand customer behaviors. Supports and guides teams in running growth programs and A/B tests by analyzing results and communicating findings and insights. Understands, monitors, and collaborates with teams to ensure ongoing data quality. Researches industry trends, advising the customer on applicable solutions and applying them to support their organizational needs. Works with the customer and relevant stakeholders to understand the potential impacts on the customer and the broader community of any models that are in development. Ability to manage multiple projects within the government contracting space. Essential Skills, Experience, or Competencies Must-Have Skills Ability to obtain security clearance required by the project: Public Trust BS in Computer Science, Data Analytics, Data Science, Information Systems, Information Technology, Mathematics, Electrical Engineering, Computer Engineering, or similar technology-related degree. A minimum of 8 years of demonstrated experience as a Data Scientist. Strong expertise in Python programming. Extensive knowledge in ML/AI such as Natural Language Processing (NLP). Demonstrated using Power BI for data visualization. Proficient in APIs and data modernization. E xperience working in the health sector in government. Excellent analytical skills, problem-solving skills, and attention to detail. Proficiency with deep learning tools and at least one machine learning tool, such as Hadoop, Apache Spark, TensorFlow, sciket-learn, or cloud-provider equivalents. Proven skills in statistics, data processing, or data annotation. Proficient in at least one programming language, such as Python or R. Proficiency with various types of databases, such as relational, key-value, document, graph. Proficient in OLAP data storage technologies like data lakes, and data warehouses. Proven ability to work with at least one machine learning tool like Hadoop, Apache Spark, TensorFlow, or scikit-learn, or cloud-provider equivalents. Skilled in the usage of visualization tools and techniques like D3 Dash, ggplot, Tableau, or equivalents. Proficient in cloud computing technologies such as Azure, Databricks, AWS, Google Cloud Platform. Ability to view data and determine what questions to ask, what assumptions to make, what algorithms to use, and how to get the biggest impact from it. Ability to understand and respond to customer needs and collaborate as part of a cross-functional team. Experience working in an agile environment. Ability to operate and manage work, strategically reason, build relationships, and influence others. Icing-on-the-Cake Skills Understanding of software architecture, full-stack development, and platform solutions in the development and production of artificial intelligence that meet the mission objectives and goals of our clients.

<!– job description page –>