Senior Data Scientist

Designation:

What do we look for?

• Analytical solutioning capabilities to solve high impact business problems.
• Knowledge of the key business processes of fortune 500 firms in the pharmaceutical industry
• Awareness of commonly adopted data and tech landscape across business functions
• Ability to develop end-to-end enterprise data-science applications.
• Strong technical execution capabilities, know-how of latest data and tech landscape, ability to debug / solve technical challenges and provide technology consulting and road map solutions for enterprise level implementations.
• Should be passionate to build a team and own up the growth, i.e., Level of ownership of an engagement.

Behavioral and attitudinal skills-

• client and stakeholder communication management, problem breakdown and execution planning, technical thought leadership and work intent.
• Intent to continuously learn, knack for exploration and research, curiosity to innovate and design out of box solutions.
• As a data scientist and Shiny developer, you will take a leading role in developing, implementing, and applying advanced statistical analysis, machine learning, and data visualization techniques for clinical trial analysis. You will participate in a variety of software development activities for Shiny-based data products. This will include but will not be limited to design, development, testing, and documentation, using R and Shiny along with other web application tools and technologies.
• Proficient coding skills in R / R Shiny.
• Advanced skills developing and deploying R Shiny web applications.
• Sound knowledge of the fundamentals of machine learning statistics.
• Understand efficient coding standards and has a knack to plan for QC checks before coding.

Desired Skills & Experience

• 2- 4 years of professional work experience developing and deploying Shiny web applications Advanced programming skills in R (including experience with the tidy verse suite of packages)
• Knowledge of web development technologies including JavaScript, JSON, CSS, and HTML.
• Proficient R debugging skills to reduce code bottle necks, optimize and refactor code base to improve efficiency, clean shiny reactivity and reduce overall memory usage.
• Proficiency in Python programming.
• Experience with SQL and data retrieval.
• Ability to work in a highly collaborative environment as well as the ability to work independently with minimum supervision.
• Be a champion R Shiny consultant to guide, discuss and implement best web development features to R Shiny applications.
• Thinking out of the box implementation solutions.
• Resourcefulness in solving problems and developing solutions.
• Quick Learning and Implementation attitude.
• Ability to take ownership of a technical challenge and see it through to a successful conclusion.
• Excellent written and verbal communication skills.
• Tremendous passion towards learning is a must. You must be able to merge the art of consulting and the science of Design in visualization.
• Drive and energy to work hard and achieve success in an entrepreneurial environment.

Additional Details-

• Mandatory Skill set

  - R Shiny Development

• Minimum Experience

  - 2 to 4 years

• Notice Period

  - Immediate to 30 Days