Sr Data Scientist

This position will work a hybrid schedule from our Leawood, KS office location preferred. Remote will be considered within the United States.

• Experimentation and Insights Presentation:
  Conduct experiments, prototype solutions, build optimization and machine learning models, and present insights.
• Leverage Data Science for Sales Targeting:
  Harness the power of data science to optimize sales targeting strategies, enabling sales teams to focus on high-potential prospects and maximize their effectiveness.
• Data Preparation, Modeling, and Database Development:
  Prepare data, implement data models, and develop databases to support business needs.
• Data-driven Decision Making:
  Help business users understand and draw conclusions from data for effective decision making.
• Business Needs to Analytics Problem Statements:
  Convert business needs into high-level analytics problem statements and deliver impactful projects to non-technical audiences.
• Interpret Results from Multiple Sources:
  Interpret results from various sources using techniques ranging from simple data aggregation to complex data mining.
• Direct preparation of studies, reports, and analyses in areas such as operations, forecasts, statistical reports, projections, and business forecasts
• Make recommendations to management regarding cost-saving or profit-generating opportunities and profitability improvement strategies
• Coordinate with all levels of management to gather, analyze, summarize, and prepare recommendations regarding clinical and/or operational plans, growth opportunities, new business planning, and operating forecasts

• Master’s degree in one of the following areas:
  Statistics, Data Science, Computer Science, Mathematics, Operations Research, or similar field required.
• Minimum 8+ years of experience working on data science, machine learning, or artificial intelligence projects in the industry
• Must be able to independently organize work while working on numerous evaluation projects; prioritize tasks; plan ahead; follow through to complete assignments in a timely, complete, and accurate manner
• Advanced experience with relational databases (SQL Server, Oracle, MySQL, PostgreSQL) and No
  
  SQL (Elastic Search, HBase) databases
• Advanced experience building classification, regression, clustering, supervised, semi-supervised, deep learning models
• Advanced experience working with datasets of varying degrees of size and complexity including both structured and unstructured data (email, documents, chats)
• Advanced experience in applied statistics skills, such as hypothesis testing, distributions, bias/variance trade-offs, statistical testing, regression, PCA
• Advanced experience with data tools, such as Tableau, Power BI, D3.js, GGplot, Python Num Py, Sci Py, Scikit-learn, Tensor Flow, R, Spark ML, Azure ML, SQL, ML, and Snowflake.

• Flexible and generous paid time off
• Competitive medical, dental, vision and life insurance
• 401(k) employer matching program
• Parental leave
• Wellness resources
• Charitable matching program
• Hybrid work
• On-site workout facilities (Leawood, Gilbert, Burlington)
• Community outreach groups
• Tuition reimbursement

Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S. based positions with Ascend Learning, LLC must be legally authorized to work in the United States and verification of employment eligibility will be required at the time of hire.