Data scientist

**We need a Midsenior (5 years) Data scientist with experience to Develop test deploy and help monitor analytics products and predictive models including data engineering data analysis and AI/ML/NLP. Candidates must have a good understanding of SQL Databases and the SQL Programming Language SQL Server/Oracle and including programming in TSQL PL/SQL or the like as well as IntermediatetoAdvanced level programming

Fulltime role

Interview Process: Video

Location: Hybrid NYC/ Chesterfield MO No Relocation Candidates must be onsite day one and go into the office three times a week.

Please provide all the below details with each submittal. It is required for the vendor Management system.

Number of years working with:

Total IT experience:

Years working with: Data Scientist

Years working with: AI/ML/NLP

Years working with: Python

This position requires improving and supporting our applications infrastructure writing code analyzing data creating models creating adhoc apps/reports/dashboards working with both internal and external customers participating in project management and execution and leading small individual and team projects. The Advanced Analytics team members are passionate about continuous learning and turning that knowledge into cuttingedge analytical solutions. We strive to deliver innovative analytical solutions that generate tangible business results.

Key functions include but are not limited to the following:

• Develop test deploy and help monitor analytics products and predictive models including data engineering data analysis and AI/ML/NLP.
• Service the analytical needs of internal and external customers by providing highvalue analysis reports dashboards and/or electronic files as needed.
• Execute and participate in leading highvalue data science projects including defining project deliverables estimating timelines estimating expected business value assigning project tasks and ensuring efficient execution and proper documentation from ideation through business integration.
• Help implement automated solutions to monitor and maintain the performance of the teams analytical products. Identify when model retraining or new solutions are needed.
• Design and execute welldocumented experiments to identify novel uses of internal and external data to deliver business value.
• Keep up to date with AI and ML best practices as relates to MECs initiatives and share key insights with the team.
• Help design evangelize and continuously improve group best practices.
• Conduct formal peer reviews of data science projects from other team members.
• Work on crossfunctional teams within MEC and across the larger corporation to develop and implement novel analytics and data science solutions.
• Provide mentorship to junior team members.
• Create and deliver presentations to internal and external customers as needed.

Qualifications

• Bachelors or Advanced degree in data science computer science mathematics statistics engineering physics or other sciences (or college degree with significant technical experience in a corporate setting).
• Education should include significant work in advanced mathematics statistics and/or data science.
• Undergraduate or graduate work in computer science is a plus.
• Requires 4 to 7 years of business experience as a data scientist or in a related field.
• Possesses an intense curiosity and determination to explore and solve complex business problems utilizing data technology and analytical techniques.
• Ability to multitask and manage assigned work under very tight deadlines.
• Advanced understanding of a variety of statistical and machine learning algorithms.
• IntermediatetoAdvanced understanding of natural language processing.
• History of following data visualization best practices.
• History of following coding best practices.
• Experience in breaking projects down into deliverables setting timelines and providing accurate status reports to management.
• Significant experience working with large databases for analytical purposes. This would include both transactional systems and data warehouse systems.
• IntermediatetoAdvanced level understanding of SQL Databases and the SQL Programming Language SQL Server/Oracle and including programming in TSQL PL/SQL or the like.
• IntermediatetoAdvanced level programming experience with Python and/or R.
• Knowledge of information technology practices related to data data warehousing ETL processes and data mining.
• Understanding of project management practices and approaches including waterfall and Agile methodologies and experience with project management software such as Microsoft Team Foundation Server Jira Trello etc.
• Experience with code management (version control) techniques utilizing tools such as Microsoft Team Foundation Server GitHub etc.
• Intermediate experience with UNIX and Docker.
• Excellent listening and interpersonal skills.
• Experience working in a teamoriented collaborative environment.
• Occasional evening and weekend work to meet deadlines.