Data Scientist - WhirlWind Technologies, LLC
National Harbor, MD
About the Job
Job Title/Level | Jr. Data Scientist |
Location | 100% Remote |
Salary | 86k - 110k |
Schedule | Full Time |
Preferred Clearance | Must be able to obtain a Public Trust Clearance |
Covid Vaccination | As a condition of employment, employees will be required to provide proof of their COVID-19 vaccination. |
Company Overview
WhirlWind is on a mission to help each client succeed by using our management consulting and technology expertise. We design, build, and manage secure environments that support data-driven decision making and data-powered products. Our services transform governments and enhance the lives of citizens.
Our people are driven and committed to our mission. If you want to join a team of rock stars who do incredible, purposeful work, and have fun doing it, come thrive with us and be one of the heroes behind our success. We offer an attractive benefits package including a competitive base salary and have been voted the Best Place to Work for 2022.
Position Overview
WhirlWind Technologies, LLC has an immediate opening for a Junior Data Scientist with projects relating to data science, artificial intelligence (AI), or familiarity with key concepts in each field while working remotely. This role will work closely with machine learning projects' Product Owners and the customer's fellowship program. The ideal candidate is a recent graduate with 2+ years of experience with strong abilities to approach complex problems creatively, to lead their portion of work skillfully, and to help devise the delivery of thoughtful solutions as a part of a growing team. This position will report directly to the WhirlWind EDSDI Program Manager.
Top 3 Outcomes in Year 1
- With your leadership and technical skills, achieve a state-of-the-art, highly automated, and interactive data visualization system
- Lead and obtain organic growth of the current IT contract and client account
- Achieve and/or increase customer satisfaction through mutually agreeable performance metrics
Essential Duties & Responsibilities |
- Develop methods and procedures for collection and analysis of data from several data sources
- Monitor, review, and validate customer data is collected and processed on schedule
- Automate data collection from various external data sources and data type
- Lead requirements gathering from customer and stakeholders and create interactive data visualization dashboards that meet or exceed customer requirements and expectations
- Identify and integrate tools to enhance data visualization efficiencies and effectiveness such as machine learning (ML), artificial intelligence (AI), and robotics process automation (RPA)
- Proactively seek an understanding of the customer's business, mission, and vision to provide additional thought leadership to achieve their goals
- Create clear and concise presentations as needed to communicate with the customer and stakeholders the status of projects and assigned tasks
- Provide weekly written status reports and brief customer weekly on the status of the project activities
Required Qualifications
- Ability to attain Public trust position
- Experience in one or more of the following: Python, Julia, C, C++, R, MATLAB, Java, Scala, EMR/spark or similar
- Experience designing, training, using, and/or deploying machine learning models
- Comfortable implementing modern software development practices, i.e. version control, continuous integration, test-driven development, etc.
- A recent graduate with a Bachelors or Master's degree in Computer Science, Engineering, or similar relevant field experience
- Knowledge of application system analysis and data analytics
- Knowledge of business intelligence software
- Professional attitude, with a strong self-directed work ethic and the ability to work in a fast-paced, dynamic environment
- Solid communication skills, both verbal and written
Preferred Qualifications |
- 5+ years of experience in one or more of the following: Python, Julia, C, C++, R, MATLAB, Java, Scala, EMR/spark or similar
- Previous working experience as a data scientist or machine learning
- Basic knowledge of Agile process and principles
- Outstanding communication, presentation, and leadership skills
- Excellent organizational and time management skills
- Sharp analytical and problem-solving skills
- Attention to details