DV Cleared Data Scientist in Nationwide

Energy Jobline

Olathe, KS, United States

14 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$5,000.0

Working hours

Regular working hours

Job source

www.energyjobline.com

Tech stack

Java (Programming Language) Artificial Intelligence Algorithm Design Big Data Python (Programming Language) Machine Learning NumPy Tensorflow Scripting Pytorch Pandas Scikit Learn

+1 more

Data Analytics

Job description

We are seeking a Data Science Specialist to join a premier technology and defence practice. Sitting within a specialist team, this strategic and technical leadership role is responsible for maturing internal data science capabilities and maximizing the value of complex datasets across critical platforms.

Leading an agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges.

Key Responsibilities

Team Leadership & Line Management: Direct line management and technical leadership for a team of 6 data scientists across multiple agile projects.

Advanced Data Exploitation: Drive the exploitation of complex data sets on critical customer platforms to deliver actionable outcomes.

AI & Algorithm Development: Coordinate the design, build, and implementation of custom data models, intelligent algorithms, and machine learning solutions.

Mentorship & Capability Building: Act as a senior technical authority to upskill and mentor team members in data science and AI practices.

Requirements

Programming & Scripting: Expert-level skills in interpreted and compiled (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy.

Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics.

Leadership & Outcomes: Proven experience leading technical teams, managing project delivery, and operating independently with an innovation-focused mindset.