Data Scientist

Objectives of this role

Collaborate with product design and engineering teams to develop an understanding of needs

Research and devise innovative statistical models for data analysis

Communicate findings to all stakeholders

Enable smarter business processes by using analytics for meaningful insights

Keep current with technical and industry developments

Responsibilities :

Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products

Execute analytical experiments to help solve problems across various domains and industries

Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables

Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy

Analyze data for trends and patterns, and interpret data with clear objectives in mind

Implement analytical models in production by collaborating with software developers and machine-learning engineers

Required skills and qualifications

Seven or more years of experience in data science

Proficiency with data mining, mathematics, and statistical analysis

Advanced experience in pattern recognition and predictive modeling

Experience with Excel, PowerPoint, Tableau, SQL, Power Bi and programming languages (ex: Java/Python, SAS)

Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects

Preferred skills and qualifications

Bachelors degree (or equivalent) in statistics, applied mathematics, or related discipline

Two or more years of project management experience

Professional certification