Senior Data Scientist (Hybrid)

Job Title 

Job Description

For more than 80 years, Kaplan has been a trailblazer in education and professional advancement. We are a global company at the intersection of education and technology, focused on collaboration, innovation, and creativity to deliver a best in class educational experience and make Kaplan a great place to work.

Our offices in India opened in Bengaluru in 2018. Since then, our team has fueled growth and innovation across the organization, impacting students worldwide. We are eager to grow and expand with skilled professionals like you who use their talent to build solutions, enable effective learning, and improve students’ lives.

The future of education is here and we are eager to work alongside those who want to make a positive impact and inspire change in the world around them.

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modeling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence and machine learning. 

Successful candidates will have good communication and presentation skills, critical thinking skills, and the ability to break down complex problems. Quick learners are preferred over many years of experience, and associates who aspire to make a difference over those who aim to just fill orders.

Primary Responsibilities

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards

• Interact with stakeholders to understand the requirements and create a comprehensive approach for the problem statement, which includes understanding requirements, setting appropriate expectations and communicating the project details or findings to the stakeholder.

• Extract, manipulate, analyze & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations 

• Generate clearly understood and intuitive data science / advanced analytics outputs

• Participate in best practice sharing and communication platform for advancement of the data science discipline

• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations

• Coach and collaborate with other data scientists and data analysts

• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.

• Other duties as assigned.

• Hybrid Schedule: 3 days remote / 2 days in office

• 30-day notification period preferred

Minimum Qualifications

• Bachelor’s Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics,

• Mathematics, Machine Learning, Physics, or similar degree

• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operation

• Strong proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch, pandas, NumPy) and LLMs ( ChatGPT, Gemini, Llama, Claude) etc.

• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.

• Advanced proficiency in SQL, Excel (advanced functions & pivots), and Powerpoint.

• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyze data to solve problems

• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience

• Strong written and verbal communications skills, as well as presentation skills

• Knowledge of best-in-class technology "big data" platforms and cloud based technology and experience with ML engineering is a plus

• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions

Preferred Qualifications

• Knowledge of best-in-class technology "big data" platforms and cloud based technology and experience with ML engineering is a plus

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At Kaplan, we recognize the importance of attracting and retaining top talent to drive our success in a competitive market. Our salary structure and compensation philosophy reflect the value we place on the experience, education, and skills that our employees bring to the organization, taking into consideration labor market trends and total rewards.  All positions with Kaplan are paid at least $15 per hour or $31,200 per year for full-time positions. Additionally, certain positions are bonus or commission-eligible.   And we have a comprehensive benefits package, learn more about our benefits here.

Diversity & Inclusion Statement:

Kaplan is committed to cultivating an inclusive workplace that values diversity, promotes equity, and integrates inclusivity into all aspects of our operations. We are an equal opportunity employer and all qualified applicants will receive consideration for employment regardless of age, race, creed, color, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, veteran status, nationality, or sex. We believe that diversity strengthens our organization, fuels innovation, and improves our ability to serve our students, customers, and communities. Learn more about our culture here.

Kaplan considers qualified applicants for employment even if applicants have an arrest or conviction in their background check records. Kaplan complies with related background check regulations, including but not limited to, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.  There are various positions where certain convictions may disqualify applicants, such as those positions requiring interaction with minors, financial records, or other sensitive and/or confidential information.

Kaplan is a drug-free workplace and complies with applicable laws.