Sr Data Scientist

Ascend Learning, LLC; Leawood (KS); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Flexible and generous paid time off

Competitive medical, dental, vision and life insurance

401(k) employer matching program

Parental leave

On-site workout facilities

Job summary

Ascend Learning, LLC, located in Leawood, KS, is seeking a Data Scientist to lead data science projects. The role requires a Master's degree and at least 8 years of experience in data science or machine learning. You will conduct experiments, optimize sales strategies, and prepare data to support business needs. The position offers a hybrid work model and competitive benefits.

Join a company committed to equal opportunity and offering a supportive work environment with generous paid time off and wellness resources.

Qualifications

• Minimum 8 years of experience in data science or machine learning projects.
• Advanced experience with relational databases including SQL Server and NoSQL.
• Ability to independently manage multiple projects and priorities.

Responsibilities

• Conduct experiments and present insights.
• Optimize sales targeting using data science.
• Prepare data and develop databases for business needs.

Skills

Data Science

Machine Learning

Statistics

SQL

Data Preparation

Data Visualization

Education

Master’s degree in Statistics, Data Science, or related field

Tools

Tableau

Python

R

TensorFlow

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.