Skip to main content
Tallo logoTallo logo

Senior Data Scientist

Job

Sky Solutions LLC

Woodlawn, MD (In Person)

Full-Time

Posted 2 days ago (Updated 5 hours ago) • Actively hiring

Expires 6/29/2026

Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
99
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Senior Data Scientist Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week•
ACCEPTING LOCALS
only Key Skills & Requirements Strong experience in Python , SQL , Pandas , NLP frameworks (NLTK, spaCy), and Generative AI/LLMs Hands-on expertise in data analysis , model training/optimization , and pipeline development Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS; Azure optional) Experience with scalable data engineering (Spark, Airflow) and semantic search Knowledge of MLOps/LLMOps , version control (Git), and deployment practices Ability to process large datasets from diverse sources (SQL Server, Oracle, Hadoop, etc.) Excellent communication, problem-solving, and collaboration skills Bachelor s degree in Computer Science, Statistics, Applied Mathematics, or related field; 15+ years IT experience Position Overview Develop and deploy NLP and Generative AI solutions for real-world challenges Build scalable ML/AI pipelines and optimize LLM models Conduct advanced data analysis and apply statistical/ML methods to solve complex problems Collaborate with cross-functional teams to close data gaps and deliver actionable insights Provide recommendations on analytic approaches and advise on data requirements