Sr. Data Scientist
Bengaluru, Karnataka
Business Intelligence – Data Science /
Full-Time /
Hybrid
Join our India Tech Hub – Be among the first hires!
Kobie, a 35-year veteran of the loyalty industry, a multi-year Forrester Leader, and USA Top Workplace is expanding its global footprint by establishing a Tech Hub in India. Kobie partners with global brands to build deep connections with their customers through personalized, data-driven loyalty experiences and has a mission of growing enterprise value through loyalty. The Tech Hub will serve as a Global Capabilities Center for a broad range of technology roles, and this is your chance to play a pivotal role in shaping our presence in India. Join us as we continue to lead in loyalty, delivering innovative customer experiences for some of the world’s most recognized brands while working alongside some of the best and brightest in loyalty.
About the team and what we will build together
Data is at the core of everything we do at Kobie. This role is part of a high performing data and analytics team within Kobie that is responsible for helping our clients extract maximum value from their loyalty data. From churn models to chatbots, this hands-on role will have exposure to a massive dataset to help directly impact how Kobie provided value for our clients.
As a Sr. Data Scientist, you will play a pivotal role in analyzing complex datasets to extract insights that enhance customer loyalty programs. You will collaborate with cross-functional teams to design and optimize data models, generate predictive insights, and contribute to the strategic growth of our clients. This is an exciting opportunity for a passionate data scientist to make a direct impact on customer engagement strategies through innovative analytics
How you will make an impact
- Lead the design and delivery of advanced analytics solutions that enhance customer loyalty programs.
- Collaborate with strategists, product teams, and engineers to translate business needs into data-driven solutions.
- Develop and optimize predictive models, personalization engines, and customer segmentation strategies.
- Apply AI/ML techniques—including Generative AI and LLMs—to drive innovation in loyalty and CRM use cases.
- Mentor junior data scientists, share best practices, and contribute to Kobie’s growing analytics culture.
What you need to be successful
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.
- 7+ years of experience in data science, including leading projects end-to-end and mentoring others (5+ years may be considered with strong leadership experience).
- Proficiency in Python and SQL; working knowledge of R.
- Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and statistical modeling (predictive analytics, clustering, segmentation, causal inference).
- Hands-on expertise with data visualization tools (Tableau, Looker, Power BI) for insight storytelling.
- Familiarity with data warehousing and cloud data platforms (Snowflake, AWS, GCP, or Azure).
- Strong communication skills, with the ability to translate technical insights into actionable recommendations for non-technical audiences.]
- Preferred Skills:
- Experience applying analytics to loyalty programs, CRM systems, or marketing personalization.
- Knowledge of A/B testing and experiment design.
- Experience with big data ecosystems (Spark, Hadoop) and NoSQL data modeling.
- Hands-on experience with Generative AI / LLMs, including fine-tuning, retrieval-augmented generation (RAG), or evaluation frameworks.
- Familiarity with customer loyalty KPIs (enrollment, earn/burn, churn, engagement) and how to optimize them through data science.
About Kobie
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals ready to join a collaborative, growth-focused culture.
As a trusted partner to some of the world’s most recognized brands, we are loyalty leaders, helping brands build lasting emotional connections with their consumers. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level.As we launch our India Tech Hub, we are excited to bring our award-winning culture to a new region - creating an environment where collaboration, flexibility, and career growth come together to build something truly special.
We are proud to be the only loyalty provider to be externally recognized for their culture. We believe people thrive when they feel valued, supported, and empowered to be their authentic selves. Our commitment to diversity, equity, and inclusion ensures every teammate has a voice and the opportunity to be heard.
Giving back is in our DNA at Kobie,through an annual fundraiser, charitable partnerships, and volunteer opportunities, we encourage our teammates to make a difference in their communities.
To support our teammates beyond just their careers, we offer highly competitive benefits, comprehensive health coverage, and well-being perks that support our teammates and their dependents. We understand the importance of time for life outside of work - recognizing public holidays,offering flexible time off, and prioritizing work-life balance.
As we expand into India, our new teammates will be fully integrated with our U.S. teams, working on global projects and gaining exposure to top industry leaders. With continued growth, we will establish a physical office in Bengaluru, India, giving teammates aspace for collaboration and fostering connection.
Now is the perfect time to join Kobie. Be part of something big and help shape the future of our global capabilities center, the Kobie India Tech Hub.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
