We Impact Lives Through Purpose-Driven Work in A People First Culture

Ascend Learning is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data driven solutions across the lifecycle of learning.

Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers.

We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.

Ascend Learning leads the way in innovation and solution creation to improve outcomes and deliver results for students, educators, and healthcare workers in the ever-changing field of healthcare. We offer advanced resources that drive nursing success, empower front-line certified allied health workers, help physicians pass boards and stay current, and provide education management tools for medical education programs.

WHAT YOU'LL DO

As a Sr Data Scientist, you will assist organizational decision making by providing and explaining data in an easily consumable format and translate internal customers’ business requirements into technical requirements. The Sr Data Scientist will be responsible for executing Ascend data science projects, creating new models, refreshing models during changes, and conducting proof of concept research for new initiatives. The successful candidate has strong modelling skills and is comfortable owning data, converting business problems into analytical solutions, and working from concept to delivery. 

WHERE YOU’LL WORK

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

HOW YOU’LL SPEND YOUR TIME

• 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

WHAT YOU'LL NEED

• 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

Fostering A Sense of Belonging

We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued and be their authentic selves. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.

About Ascend Learning

As a tech-enabled services company, Ascend Learning is a national leader in developing and delivering data-driven online educational content, software, assessments, analytics, and simulations serving institutions, students and employers across healthcare, fitness and wellness, public and workplace safety, skilled trades, insurance, financial services, cybersecurity, and higher education. We're committed to accelerating the learning pathways that can move people into careers where they have the knowledge and skills to have an impact and help change lives in the communities they serve. Headquartered in Burlington, MA with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2023 Greatest Workplaces for Diversity.

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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