Data Scientist (Hybrid)

Job Title

Data Scientist (Hybrid)

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 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 should be able to apply 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 Data Scientist should have the ability to communicate the project details or findings to the stakeholder.

Key Responsibilities

• Perform the full range of predictive/advanced analytics and data sciences methodologies, techniques and outputs associated with the Data Sciences area of expertise
• Extract, manipulate, analyze & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations (where applicable)
• Generate clearly understood and intuitive data sciences / advanced analytics outputs
• Produce high-quality, error-free data sciences outputs
• Participate in best practice sharing and communication platform for advancement of the data sciences discipline
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations
• Assist in developing data sciences training for both team members and stakeholders
• Collaborate and help other data scientists
• 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 Requirements

• Bachelor's Degree (B.A./B.S.) in Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 2+ years of experience in data science in a digitally advanced industry focusing on strategic
  
  

initiatives, marketing and/or operations

• Knowledge of the best-in-class analytic software tools and languages like SQL, Python / R / Matlab / Scala along with Excel/Tableau/Power BI etc.
• Knowledge in statistical methods, statistical analysis, data visualization, and data mining techniques.
• 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
  
  

Preferred Requirements

• Master's degree preferred
  
  

Beyond Base Salary, Our Comprehensive Total Rewards Package Includes

Hybrid work model provides a flexible work/life balance

Voluntary Provident Fund is an additional voluntary contribution scheme associated with the statutory Employee Provident Fund (EPF)

Our Gift of Knowledge Program provides tuition assistance and substantial discounts for our employees and close family members

Comprehensive health benefits new hire eligibility starts on day 1 of employment

Generous Paid Time Off includes National holidays(10), Earned leaves(15), sick leave(12), plus one (1) volunteer day to participate and give back to our local communities

Gratuity is applicable upon completion of 5 years as per the Gratuity Act

We are committed to providing a supportive and rewarding work environment where every employee can thrive. You can learn more about our full benefits package and total rewards philosophy here.

At Kaplan, we believe in attracting, rewarding, and retaining exceptional talent. Our compensation philosophy is designed to be competitive within the market, reflecting the value we place on the skills, experience, and contributions of our employees, while taking into account labor market trends and total rewards. The specific compensation offered will be determined by a variety of factors, including but not limited to the candidate's qualifications, relevant experience, education, skills, and market data.

Location

Bangalore, KA, India

Additional Locations

Employee Type

Employee

Job Functional Area

Data Science & Analytics

Business Unit

00092 Kaplan Health

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.