A leading IT services firm is seeking a Mid-Senior level Data Scientist in Hoover, Alabama. This role involves acting as the lead data strategist, enhancing data product capabilities, and deploying analytical models. Candidates should have over 7 years of experience in data science, strong analytical skills, and proficiency in tools such as SQL and Python. This contract position offers the chance to work in a dynamic, research-oriented environment with multiple active projects.
Qualifications
7+ years of experience in data science.
Strong skills in data mining, mathematics, and statistical analysis.
Advanced experience in pattern recognition and predictive modeling.
Responsibilities
Lead data strategist, integrating new datasets into product capabilities.
Partner with engineering to enhance data products.
Analyze data for trends and clear business objectives.
Skills
Data mining
Mathematics
Statistical analysis
Predictive modeling
Proficiency in SQL
Proficiency in Python
Proficiency in Tableau
Education
Bachelor’s degree in statistics, applied math, or related field
Tools
Excel
PowerPoint
SAS
Job description
Responsibilities
Act as the lead data strategist, identifying and integrating new datasets into product capabilities.
Partner with engineering to build and enhance data products.
Execute analytical experiments across various business domains.
Identify, collect, and prepare structured and unstructured datasets.
Build algorithms and models for large-scale data mining, including data validation, error analysis, and model improvement.
Analyze data for trends, patterns, and clear business objectives.
Deploy analytical models to production in collaboration with software developers and ML engineers.
Required Qualifications
7+ years of experience in data science.
Strong skills in data mining, mathematics, and statistical analysis.
Advanced experience in pattern recognition and predictive modeling.
Proficiency in Excel, PowerPoint, Tableau, SQL, and programming languages (e.g., Java, Python, SAS).
Ability to work effectively in a dynamic, research-oriented environment with multiple active projects.
Preferred Qualifications
Bachelor’s degree in statistics, applied math, or a related field (or equivalent experience).