Senior Data Scientist – Full Stack
SentiLink
Lead Data Scientist
Leidos
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $126,100 - $227,950 per year
Job Level
Senior
Tech Stack
PandasPythonPyTorchScikit-LearnTensorflow
About the role
- The Lead Data Scientist will guide a team of data scientists and analysts in the development and deployment of advanced analytical models and AI solutions.
- Act as a technical leader and a key bridge between our data science team and business stakeholders.
- Lead the end-to-end execution of data science projects, from problem formulation and data exploration to model development, validation, and deployment.
- Provide technical mentorship and guidance to data scientists on advanced analytics, machine learning techniques, and best practices.
- Collaborate with stakeholders to understand business needs, define project scope, and translate requirements into data science tasks.
- Drive the application of advanced techniques, including prescriptive analytics, scenario modeling, and data-to-insight transformation.
- Ensure the quality, rigor, and scalability of data science solutions, adhering to trusted and responsible AI principles.
- Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences to drive decision-making.
- Stay abreast of the latest advancements in data science and machine learning, and champion their adoption within the team.
Requirements
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field with 12+ years of applicable experience; additional years of experience may be substituted in lieu of a degree.
- Proven experience leading data science projects from conception to production.
- Strong proficiency in programming languages such as Python or R and experience with common data science libraries (e.g., scikit-learn, pandas, TensorFlow, PyTorch).
- Demonstrated expertise in machine learning, statistical modeling, and data analysis.
- Must be a U.S. Citizen and able to obtain and maintain a security clearance.
Benefits
- competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencemachine learningstatistical modelingdata analysisPythonRscikit-learnpandasTensorFlowPyTorch
Soft skills
technical leadershipmentorshipcommunicationcollaborationproblem formulationproject managementdecision-makingstakeholder engagementadaptabilityinsight transformation
