Senior Data Scientist - MLOps & ML Innovation

Akina Inc; Annapolis, Northern (MD, KY); Hybrid; USD 213,000 - 261,000; Full time

Benefits offered by this job

PTO 24 days/year

11 federal holidays

401(k) with 10% company contribution

Healthcare costs fully covered

Educational assistance

Job summary

Akina Inc. in Annapolis Junction, Maryland, invites applications for a Data Scientist 3 with MLOps and advanced analytics focus. The role requires leading analytics projects, guiding SMEs, and delivering production-ready ML solutions.

You will work with data scientists to develop, evaluate, and productionize models, building reports and visualizations to support missions. Clearances and deep technical expertise are essential.

Qualifications

• Ten years of experience in two or more of the following: ML, data mining, advanced analytics, AI or software engineering with data analysis tools (R, Python, SAS, MATLAB).
• Bachelor’s degree in a quantitative field; advanced degrees may substitute for experience.
• Experience leading data science teams and transitioning analytics to production.

Responsibilities

• Develop machine learning, data mining, statistical and graph-based algorithms.
• Prototype and compare models to select final production-ready solutions.
• Produce data visualizations and reports for customer insights.
• Lead a team of data scientists and guide analytic development.

Skills

MLOPS

Data Science

Statistical Modeling

Machine Learning

Education

Bachelor's degree in quantitative discipline

Master's degree substitution for experience

Doctoral degree substitution for experience

Tools

Python

R

SAS

MATLAB

Job description

Akina Inc. in Annapolis Junction, Maryland, invites applications for a Data Scientist 3 with MLOps and advanced analytics focus. The role requires leading analytics projects, guiding SMEs, and delivering production-ready ML solutions.

You will work with data scientists to develop, evaluate, and productionize models, building reports and visualizations to support missions. Clearances and deep technical expertise are essential.