About this opportunity
Ascend Learning, LLC lists this Sr Data Scientist opportunity in leawood, Kansas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
This position will work a hybrid schedule from our Leawood, KS office location preferred. Remote will be considered within the United States.
Responsibilities
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
Qualifications
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 NoSQL (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 NumPy, SciPy, Scikit-learn, TensorFlow, R, Spark ML, Azure ML, SQL, ML, and Snowflake.
Benefits
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.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.