Data Scientist

Job Overview

Tosh, Inc. is seeking an experienced data scientist who will support our product, sales, leadership, and marketing teams with insights gained from analyzing internal and external data sources. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations. The candidate must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop underwriting models and scorecards
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications

• The ideal candidate will possess the following:
• Strong problem-solving skills with an emphasis on product development.
• Proficiency in statistical computer languages (R, Python, SQL, etc.).
• Credit Scorecard development.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• A four-year degree in a related field: Mathematics, Statistics, Computer Science, or Engineering
• We’re looking for someone with at least four (4) years of professional experience manipulating data sets and building statistical models, and who is familiar with the following software/tools:
• Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

Additional Qualifications a Plus

• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: Power BI, Tableau, Periscope, Business Objects, D3, ggplot, etc.
• Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

Compensation & Benefits

In addition to a generous salary, we offer our employees the following benefits:

• Company provided health insurance coverage for you and your immediate dependents
• Excellent Wellness Program with Gym Reimbursement
• 401(k) with employer match
• Generous PTO & paid holidays
• Relaxed and people-focused culture
• Role is on-site in Provo, Utah, with a hybrid option.

Applicants must be legally authorized to work in the United States and must not now or in the future require employer-sponsored work authorization or visa sponsorship.

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

Education:

• Bachelor's (Required)

Ability to Commute:

• Provo, UT 84604 (Required)

Work Location: Hybrid remote in Provo, UT 84604