Lead – Data Scientist

Location: Bengaluru

Mode of work : Hybrid

Employment Type: Full-time

Experience Level: 7-10 years

Website : www.medicodio.com

Position Overview : Highly skilled, commercially focused and motivated Data Scientist with Python Programming looking for exciting projects that will challenge you to demonstrate expertise and leadership in building out our advanced models.

Highly skilled, commercially focused and motivated Data Scientist looking for exciting projects that will challenge you to demonstrate expertise and leadership in building out our advanced models.

With a deep understanding of ML frameworks, ML pipelines and statistics you’ll leverage your programming, data wrangling, and analytical expertise to solve business problems, build data products and frameworks, track performance, automate testing, and more. Working closely with the rest of our Analytics team and partnering with our BI team, you’ll assist in creating the foundation for how we build data-driven applications, tools, and experiences for our internal business partners.

Having knowledge of R and AI/ML is a must!

This role requires a wide variety of strengths and capabilities, including:

·        Mastery of application, data, and infrastructure architecture disciplines

·        Expertise with AWS/AZURE Cloud services and Solutions Engineering

·        Experience with AI/ML platforms and technologies

·        Command of architecture, design, and business processes

·        Knowledge of industry-wide technology trends and best practices

·        Keen understanding of financial control and budget management

·        Expertise in working in in large, collaborative teams to achieve organizational goals

·        Passionate about building an innovative culture


  • Execute the data vision strategy and goals ensuring those are consistent with the business requirements.
  • As part of the Data Science team, help develop analytical capabilities, data products and tools to enable data query and deliver solutions to business requests
  • Contribute and provide thought leadership to the business and key stakeholders.
  • Develop new approaches to understand and solve complex business problems such as optimizing product performance and adoption.
  • Generate actionable audience insights using advanced statistical techniques such as predictive statistical models, audience profiling, segmentation analysis and test design, exploratory analysis and data mining.
  • Understand in depth, design and inform statistical testing for text mining
  • Design user interfaces to overlay ML models, and enable business partners to access models, query results and scenarios.
  • Build presentations and reports to communicate statistical modeling results
  • Can manage ingestion and cleansing of large unstructured data and developing analytical capability to query the data and respond to user requests using a wide range of technologies including.
  • Productionalize codes and models via various tools and technologies (such as R Connect and R Studio) to deliver scale, efficiency and speed.
  • Profile, explore, connect and analyze extensive, often disjointed, and unstructured datasets including health care meta data, user level data

Required Qualifications:

  • At least 7 years of Information Technology experience.
  •  5 + years as Data Analyst/Scientist with R Language
  • Must have an in-depth knowledge of advanced statistical techniques, machine learning, feature engineering, and model evaluation techniques including regressions, cluster analysis test design, variable reduction, non-parametric tests and forecasting methodologies.
  • Experience with A/B testing and test designs
  • Experience with big data, standardizing and appending variables across disparate data sets
  • Experience analyzing user level data (PII and anonymized), DMP data, social data and viewing / transactional or streaming data.
  • 5 + years’ experience developing production ML models to solve problems such as  text mining, path modelling, look-a-like modelling and performance optimization
  • BE/M.Tech degree required with technical focus (e.g. mathematics, computer science, physics, statistics)
  • MS or PhD degree preferred (but not essential)
  • Ability to work with data and platform engineers to implement ML pipelines.
  • Experience with R and SQL 
  • Business experience in health care industry preferred, but not required.
  • Results oriented, excel in organizational skills, have strong attention to details and be able to effectively manage multiple projects/assignments simultaneously.
  • Curious about data and problem solving intrinsic ability to look at data and identify patterns, problems, or analysis opportunities
  • Strong communication skills and the ability to explain complex analyses to both technical and non-technical audiences.
  • Effective data visualization skills with analytical tools such as Tableau, Shiny. powerBI
  • Collaborative – a team player who can thrive as an individual but also enjoy
  • providing mentorship, learning, and being collaborative in cross-functional teams

Preferred Qualifications:

  • Strong expertise in designing Interfaces and Data Migration using Webservices or equivalent technologies.
  • Experience in enforcing best practices.
  • Has performed the lead role for all technical deliverables and provide status update to the project stake holders.
  • Microsoft SQL Server Certification
  • Experience with R and SQL 
  • Health care industry
  • Experience and desire to work in a Global delivery environment.

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face , MS team, Zoom video etc. Travel may be required as per the job requirements.

Seniority Level

Mid – Senior level


Information Technology & Services

Employment Type


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