Company
Sr.DataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Data Scientist. Skills: Data Science, Predictive Modeling, Machine Learning. Plan data science projects. Conduct data science projects”
What You'll Achieve.
Align advanced analytics solutions with enterprise architecture
Industry & Context.
Data analysis; Quantitative methods
What They're Looking For.
Must Have
Advanced Degree in Computer Science, Data Science, Engineering, Statistics, or a related field, 8 – 12 years’ related or a Master’s degree with 6 years’ or a PhD with 2 years’ or equivalent directly related work experience, Solid knowledge of statistical techniques, Experience using machine learning algorithms, Proficiency in the use of statistical packages, Working knowledge in R, Python, SAS at a minimum
Nice to Have
Relevant certifications in cloud platforms (AWS, Azure) preferred
What You'll Do.
Plan data science projects
Conduct data science projects
Enable advanced analytics
Enable predictive modeling
Enable data-driven decision-making
Partner with engineering teams
Partner with business teams
Embed models into enterprise applications
Embed models into workflows
Ensure robust advanced analytics solutions
Ensure reliable advanced analytics solutions
Ensure governed advanced analytics solutions
Conduct advanced data analysis
Conduct complex designs algorithm
Identify available and relevant data
Leverage new data collection processes
Analyze patterns in data
Support initiative data
Support data type analysis
Support data speed analysis
Support data variation analysis
Partner with data stewards
Define data quality expectation
Apply quantitative methods
Resolve data discrepancies
Provide process improvements
Implement process improvements
Provide document improvements
Implement document improvements
How You'll Work.
Team & Collaboration
Engineering teams; Business teams; Data stewards
Full Job Description
**Data Scientist – Job Description** **PURPOSE AND SCOPE** Plan and conduct data science projects that enable advanced analytics, predictive modeling, and data-driven decision-making Partner with engineering and business teams to productionize models and embed them into enterprise applications and workflows Ensure robust, reliable, and governed advanced analytics solutions aligned with enterprise architecture and responsible AI/ML principles **PRINCIPAL DUTIES AND RESPONSIBILITIES** Conducts advanced data analysis and complex designs algorithm Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes Identifies and analyzes patterns in the volume of data supporting the initiative, the type of data (e.g., images, text, clickstream or metering data) and the speed or sudden variations in data collection. Partners with the data stewards to define the data quality expectation in the context of the specific use case Recommends ongoing improvements to methods and algorithms that lead to findings, including new information Analyze all data using various data analysis software and/or applying quantitative methods, resolve data discrepancies, draw conclusions, and provide/implement process or documents improvements. **EDUCATION** Advanced Degree in Computer Science, Data Science, Engineering, Statistics, or a related field Relevant certifications in cloud platforms (AWS, Azure) preferred Working knowledge in R, Python, SAS at a minimum **EXPERIENCE AND REQUIRED SKILLS** 8 – 12 years’ related experience; or a Master’s degree with 6 years’ experience; or a PhD with 2 years’ experience; or equivalent directly related work experience. Solid knowledge of statistical techniques. Experience using machine learning algorithms. Proficiency in the use of statistical packages.
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