Data Science Specialist

About Cybage:

Cybage is an information technology company specializing in outsourced product engineering and IT consulting services. With over three decades of experience, we are a leader in software development, partnering with some of the world's largest independent software vendors (ISVs) and enterprises. Our team of over 7,500 employees supports more than 250 active clients across diverse sectors, including media, software, travel, retail, healthcare, life sciences, logistics, and FinTech. At Cybage, we foster a vibrant culture rooted in fairness, inclusion, and diversity. We prioritize work-life balance in a supportive environment that nurtures creativity and delivers exceptional results. Through our philanthropic initiatives, Cybage Asha and Cybage Khushboo, we celebrate the spirit of giving and make a meaningful impact on society. Cybage's services include:

Software Product Development: End-to-end product development from concept to launch.

Modernization: Building cloud-native architectures and advanced technologies.

Platform Integration: Connecting diverse applications for increased efficiency.

Product Engineering: Strategic guidance to optimize software product development.

Support & Maintenance: 24/7 customer support for seamless global operations. Our expertise spans cutting-edge and legacy technologies, including GenAI, RPA, and cloud (hyperscalers) services like AWS, Azure, and Google Platform, along with CRM and ERP solutions such as Salesforce, ServiceNow and SAP. Visit https://www.cybage.com to see how Cybage can help your enterprise navigate the future of digital product engineering.

Job Description

• 5+ years of progressive experience in data science, analytics, or applied econometrics, with proven success leading analytical teams and delivering business impact.
• Strong background in multivariate regression, Bayesian modeling, and causal inference.
• Proficiency in Python and/or R, with experience in relevant libraries (e.g., pandas, scikit-learn, statsmodels, PyMC, TensorFlow).
• Expertise in SQL and advanced Excel for data manipulation and analysis.
• Experience with data visualization and BI platforms (Tableau, Power BI, Domo, Looker).
• Familiarity with cloud data environments (AWS, GCP, or Azure) and modern data stack tools (dbt, Snowflake, BigQuery) a plus.
• Experience in the pharmaceutical or healthcare analytics space is highly desirable.
• Exposure to Agent-Based Modeling (ABM) concepts and tools preferred.
• Strong communication and data storytelling skills, with the ability to influence senior stakeholders and clients.
• Comfortable managing multiple concurrent projects with strong attention to detail and delivery quality.
• Familiarity with digital marketing, ad effectiveness research, and platforms such as Google Analytics, Adobe Analytics, and Campaign Manager 360 is a plus.
• Experience working with measurement vendors (e.g., Lucid, Dynata) a plus.