Senior Data Scientist
Location
Utah
Posted
2 days ago
Salary
Not specified
Job Description
Job Requirements
- 3-5 years working in a data science position or performing work that aligns with the required skills in another position
- M.S. in quantitative fields such as Statistics, Econometrics, Mathematics, Physics, Computer Science, Quantitative Social Science, Quantitative Finance, or another related field
- B.S. in the fields described above will be considered if the skill set and experience are robust
- Expertise in one or more modeling/machine learning programming languages such as R or Python
- Strong SQL skills and the ability to extract data from non-relational data sources
- Advanced understanding and professional experience with the following methods: Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, Random Forest). Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees). Clustering methods (e.g., K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modeling)
- Ability to generate robust statistical analyses (e.g., power analysis, hypothesis testing, experimental design, hierarchical modeling, Bayesian and frequentist methods)
- Demonstrated ability to take data science projects from development to production
- Skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad hoc analysis requests, and generates insightful deep dives
- Familiarity and experience with concepts in consumer finance, sales operations, and B2B marketing methods
Benefits
- Generous paid time off
- Competitive medical, dental & vision coverage
- 401K with company match for US
- Company-paid life insurance
- Company-paid short-term and long-term disability
- Access to mental health and wellness resources
- Company-paid volunteer time to do good in your community
- Legal coverage and other supplemental options
- A value-based culture where growth opportunities are endless
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
The role involves providing technical leadership to generate business insights, identify impactful recommendations, and communicate findings to clients, while also designing, constructing, and maintaining scalable data management systems like Databricks pipelines. Responsibilities include researching, building, and applying LLMs and NLP-based systems, and creating advanced statistical and machine-learning models to deliver specific business recommendations.
Lead Data Scientist (Remote/Virtual)
US FoodsUS Foods is a foodservice distributor, partnering with restaurants and operators to help their businesses succeed.
The Lead Data Scientist will manage a team developing and deploying advanced analytics and AI solutions focused on driving commercial growth, seller efficiency, and customer engagement across Sales, Marketing, and Digital channels. This leader is accountable for the full lifecycle of these AI/ML solutions, ensuring measurable business outcomes are delivered.
Executive Director – Advanced Analytics, Data Science
BeOne MedicinesCancer has no borders. Neither do we.
Executive Director leading advanced analytics and data science at BeOne
The Senior Data Scientist will support R&D efforts in bio-polymers and sustainable materials and focus on applying advanced data science, statistical modeling, and machine learning to experimental, process, and materials data to accelerate innovation, improve material performance...
