Data Scientist (Databricks, Python, Machine Learning)

Mandatory: This position requires In-person (F2F) Interview, Looking only for GC or US Citizens.

Job Summary:

• The Data Scientist builds analytical products to improve business processes. These products include
• using algorithms for automation, building predictive models, designing experiments, attempting causal
• inference with observational data, and using mathematical optimization to find the most profitable
• business policies. The Data Scientist works with technical and non-technical members of the company to
• help oversee the creation and adoption of analytical products.

Skill Experience Required/Preferred        

• Required:
• Must have Master’s degree in Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
• Must have 2+ years of experience with predictive models, statistical inference, and/or other forms of quantitative analysis
• Must have experience using libraries like Tensorflow and Pytorch            
• Must have experience preparing and giving presentations to technical and non-technical audiences
• Must have proficiency in R or Python
• Must be authorized to work in United States and not required work authorization sponsorship by our company for this position now or in the future. (Green Card or US Citizens only)

Preferred:

• Doctorate degree in Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
• Experience designing experiments
• Experience exploring and visualizing data 
• Experience using Linux/Unix
• Experience using SQL     
• Experience working with observational data to attempt causal inference (e.g. matching, weighting, etc.)
• Experience working with data (merging, recoding, etc.) from a variety of sources/formats 

Roles & Responsibilities  

• Work with the team to design and deliver analytical solutions
• Extract, clean, and manipulate both structured and unstructured data
• Perform exploratory data analysis
• Develop predictive models
• Design and oversee the execution of experiments
• Use observational data for causal inference
• Deliver documentation including descriptions of efforts, results, and recommendations
• Make presentations to team members and other business units
• Partner with the other teams to bring solutions to life
• Seek to improve job performance through self-assessment, skill development, training and goal setting
• Maintain a regular and reliable level of attendance and punctuality
• Perform miscellaneous job-related duties as assigned