We are looking for a data scientist to join our enterprise analytics team! This individual will partner with various areas of the company to help formulate their business problems into data science exercises and build end-to-end analytics solutions. They will also partner with other data scientists in the company to help support, operationalize, and maintain enterprise data science solutions.

This role will involve heavy collaboration with data engineers, data stewards, product owners and business experts to support projects throughout the entire data science lifecycle. The data scientist’s tasks will include data wrangling, exploratory data analysis, hypothesis testing, modeling, rapid prototyping, business validation/testing, and operational deployment.

Responsibilities:

• Work cross functionally to help define problem statements, collect and wrangle data, conduct hypothesis testing, build and deploy machine learning models and make recommendations
• Visualize information and develop engaging presentations on data science findings and results
• Communicate findings and recommendations to technical and non-technical audiences
• Partner with data scientists across the enterprise to help support the operationalization and ongoing maintenance of enterprise data science solutions
• Maintain expertise and awareness of emerging data science techniques, technologies and potential business applications for ML/AI
• Help coach and mentor data scientists and analysts throughout the company

Minimum Qualifications:

• 3+ years of Data Scientist experince (out of school)
• Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science)
• Strong programming skills in Python or R and SQL
• Knowledge & applied experience using statistical and modeling techniques such as hypothesis testing, supervised learning methods (classification and regression), clustering, time series, and outlier/anomaly detection
• Experience building, testing and deploying production ready models
• Strong skills and knowledge of model training approaches, hyperparameter tuning, and model evaluation
• Experience with data visualization tools and packages (e.g., Tableau, matplotlib, ggplot, etc.)
• Ability to think creatively to solve problems and effectively break down complex problems into logical and manageable steps
• Ability to present data and findings in a concise and engaging manner
• Ability to communicate across all levels of the organization (technical and non-technical) and work with diverse project teams

Preferred Qualifications:

• Master’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science)
• Experience using cloud-based infrastructure such as Azure and AWS
• Experience with MLOps frameworks such as MLFlow
• Experience working in an Agile environment
• Experience using Spark for large scale data processing

*No H1B sponsership available*

Job Type: Full-time

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee discount
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Retirement plan
• Tuition reimbursement
• Vision insurance

Schedule:

• 8 hour shift
• Day shift
• Monday to Friday
• No nights
• No weekends

Application Question(s):

• Do you require sponsorship to work, now or in the future?

Education:

• Bachelor's (Required)

Experience:

• Statistical model: 3 years (Preferred)
• SQL: 3 years (Preferred)
• Data Science: 3 years (Preferred)

Work Location: Remote

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