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Karkidi

Data Science Intern

Karkidi, Gilbert, Arizona, United States, 85233


Our AI&ML Division within Ascend Learning Technology Advancement Organization is seeking a motivated, energetic Data Science Intern with a background in data science & machine learning and good communication skills. The ideal candidate will be passionate about extracting meaningful insights from complex data and using those insights to drive decision-making. This internship will provide hands-on data science experience and an opportunity to work with cutting-edge technology.As a Data Science Intern, you will collaborate closely with our team of expert data scientists, engineers, architects, and quality engineers. You will contribute to the experimentation and development of advanced analytics models to drive innovation and business solutions. The intern will be reporting to the Director of Data Science.WHERE YOU’LL WORKThis position will work hybrid from our Leawood, KS office.HOW YOU’LL SPEND YOUR TIMECollaborate with a multidisciplinary team to understand business challenges and analytical requirements.Design and execute experiments, engage in rapid prototyping, and implement solutions by crafting predictive and machine learning models to deliver actionable insights.Visualize and communicate data analysis and findings in a clear and effective manner using appropriate tools.Utilize advanced data and AI platforms, including Snowflake, SQL Server, Azure ML to develop queries and construct ML models.Thoroughly document and manage project requirements, data, and technical details to ensure continuity and reference for future projects.WHAT YOU'LL NEEDPursuing a Bachelor’s or Master's degree in computer science, Data Science or Data Analytics related field.Knowledge of various statistical and machine learning techniques such as classification, regression, clustering, natural language processing.Proficiency in programming languages such as Python or R and familiarity with SQL.Experience with data science toolkits and libraries (e.g., scikit-learn, TensorFlow, Keras, pandas).Experience with LLM and Langchain, Azure ML is a plus.Strong problem solving, strong conceptual thinking, and effective communication skills.BENEFITSFlexible 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 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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