QUALIFICATIONS
- Bachelor’s degree in computer science, engineering or mathematics, or equivalent experience
- 3+ years of relevant experience with strong foundations of statistics and machine learning techniques
- Proven experience applying machine learning techniques to solve business problems
- Proven experience in translating technical methods to non-technical stakeholder
- Proven experience writing production-grade code (Python / Pyspark) for machine learning in a professional setting
- Strong understanding of analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, kedro, mlflow)
- Experience in any cloud platforms (AWS, Azure, or GCP)
- Familiarity with containerization technologies (Docker, Docker-compose)
- Experience with Git-based workflows and automation frameworks, specifically GitHub Actions and GitLab CI/CD
- Familiarity or hands-on experience with data visualization tools (PowerBI, Tableau, etc.)
WHO YOU'LL WORK WITH
You will be based in one of our offices in Bengaluru or Gurugram as part of our Growth, Marketing & Sales practice.
The Growth, Marketing & Sales practice strives to help client in both consumer and business-to-business environments on a wide variety of marketing and sales topics. The mission of this practice is to help clients achieve marketing-driven profit growth. Our clients benefit from our experience in core areas of marketing such as customer insights, marketing ROI, digital marketing, CLM pricing, and sales and channel management.
WHAT YOU'LL DO
You are a highly collaborative individual and enjoy solving problems that focus on adding business value. You have a sense of ownership and enjoy hands-on technical work. Our values resonate with yours.
Collaboration with business stakeholders, engineers and internal teams to build and implement extraordinary pharma focused data products (re-usable asset) and solutions and delivering them right to the client will be of utmost importance.
You will also be responsible for developing deep Life Sciences domain understanding in at least in one of the following areas - Customer Analytics, Pricing Optimization, Inventory Management, E-commerce or Digital Transformation.
Other key responsibilities will include:- Build real-world scalable machine learning pipelines and deploy them to production
- Operate at the intersection of data science and software engineering to create analytics solutions
- Produce high-quality code that allows us to put solutions into production
- Lead the thinking on choosing and using right analytical libraries, programming languages, and frameworks
- Build analytics libraries and tooling based on project experience and latest research, refactor code into reusable libraries, APIs, and tools
- Play an active role in leading team meetings and workshops to inform product development and process evolution
What you’ll learn:- How successful projections on real world problems across Life Sciences use cases are completed through referencing past deliveries of end to end pipelines.
- Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations.
- Be focused on the wrangling, clean-up and transformation of data by working alongside the Data Science team which focuses on modelling the data.
- Using new technologies and problem-solving skills in a multicultural and creative environment.
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
- Real-World Impact – We provide unique learning and development opportunities internationally.
- Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programs at all levels.
- Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
- Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
- Striving for Diversity – With colleagues from over 40 nationalities, we recognize the benefits of working with people from all walks of life.
