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Karkidi

Sr Data Scientist

Karkidi, Gilbert, Arizona, United States, 85233


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 TIMEExperimentation 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 forecastsMake recommendations to management regarding cost-saving or profit-generating opportunities and profitability improvement strategiesCoordinate 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 forecastsWHAT YOU'LL NEEDMaster’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 industryMust 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 mannerAdvanced experience with relational databases (SQL Server, Oracle, MySQL, PostgreSQL) and NoSQL (Elastic Search, HBase) databasesAdvanced experience building classification, regression, clustering, supervised, semi-supervised, deep learning modelsAdvanced 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, PCAAdvanced 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.BENEFITSFlexible and generous paid time offCompetitive medical, dental, vision and life insurance401(k) employer matching programParental leaveWellness resourcesCharitable matching programHybrid workOn-site workout facilities (Leawood, Gilbert, Burlington)Community outreach groupsTuition reimbursementFostering A Sense of BelongingWe 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 LearningAs 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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