Client Services Lead

Candidate Profile 

• Previous experience in building data science / algorithms based products is big advantage.
• Experience in handling healthcare data is desired.

Educational Qualification Bachelors / Masters in computer science / Data Science or related subjects from reputable institution

Typical Experience            

• 7-9 years experience of industry experience in developing data science models and solutions.
• Able to quickly pick up new programming languages, technologies, and frameworks
• Strong understanding of data structures and algorithms
• Proven track record of implementing end to end data science modelling projects, providing the guidance and thought leadership to the team.
• Strong experience in a consulting environment with a do it yourself attitude.

Primary Responsibility      

• As a Data science lead you will be responsible to lead a team of analysts and data scientists / engineers and deliver end to end solutions for pharmaceutical clients.
• Is expected to participate in client proposal discussions with senior stakeholders and provide thought leadership for technical solution.
• Should be expert in all phases of model development (EDA, Hypothesis, Feature creation, Dimension reduction, Data set clean-up, Training models, Model selection, Validation and Deployment)
• Should have deep understanding of statistical & machine learning methods ((logistic regression, SVM, decision tree, random forest, neural network), Regression (linear regression, decision tree, random forest, neural network), Classical optimisation (gradient descent etc),
• Must have thorough mathematical knowledge of correlation/causation, classification, recommenders, probability, stochastic processes, NLP, and how to implement them to a business problem.
• Should be able to help implement ML models in a optimized , sustainable framework.
• Expected to gain business understanding in health care domain order to come up with relevant analytics use cases. (E.g. HEOR / RWE / Claims Data Analysis)
• Expected to keep the team up to date on latest and great in the world on ML and AI.

Technical Skill and Expertise             

• Expert level proficiency in programming language Python/SQL.
• Working knowledge of Relational SQL and NoSQL databases, including Postgres, Redshift
• Extensive knowledge of predictive & machine learning models in order to lead the team in implementation of such techniques in real world scenarios.
• Working knowledge of NLP techniques and using BERT transformer models to solve complicated text heavy data structures.
• Working knowledge of Deep learning & unsupervised learning.
• Well versed with Data structures, Pre-processing , Feature engineering, Sampling techniques.
• Good statistical knowledge to be able analyse data.
• Exposure to open source tools & working on cloud platforms like AWS and Azure and being able to use their tools like Athena, Sagemaker, machine learning libraries is a must.
• Exposure to AI tools LLM models Llama (ChatGPT, Bard) and prompt engineering is added advantage
• Exposure to visualization tools like Tableau, PowerBI is an added advantage

Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.