Data Science Lead


The Data Science Lead is responsible for leading the interaction with the client, leveraging his/her solutioning expertise to translate clients requirements into techno-analytics problems, build and launch cutting edge predictive analytics, machine learning and artificial intelligence business solutions for the client. The Lead will be working with a team of data engineers and scientists to embed AI & analytics into business decision processes. This role focuses both on the strategic overall vision as well as overseeing the daily tactical activities involved in managing such a program. This role will also require resource management, project planning and delivery. Technical to management ratio will be 70-30


India- Gurgaon

Roles & Responsibility

Understand complex business requirements and translates into technical specifications. Working as a subject matter expert to decide on data modeling, data sourcing, data quality, and Analytics delivery solutions. Ability to write hypothesis, create A/B tests. Hands-on experience in working with pearson’s chi-square, T- test, Anova, etc. Performs complex data analysis and system profiling to create clear data definitions. Manage delivery and quality of work in line with agreed KPIs and SLAs. Interact regularly with the stakeholders to determine their needs and to develop plans for continuous improvement. Be responsible for generating actionable insights/recommendations to help clients address their ongoing problems. Involved in driving business insights by designing visualizations with logical and meaningful data flow. Consistently leveraging & mentoring the team’s capabilities to deliver actionable insights and help the organization compete on analytics. Must have prior experience using visualization tools such as Tableau, Qlikview, PowerBI, etc for analysis. Some of the methods used will be classification, regression, clustering, performing Principal Component Analysis etc

Job Specifications & Qualifications

Strong experience in Client / Stakeholder Management. Experience in Deep dive data analysis techniques, Machine Learning and methodologies. Experience working on hypothesis, A/B testing & digital marketing. Knowledge of Statistical measures: Experimental design, Hypothesis testing. Hands-on experience in working with pearson’s chi-square, T- test, Anova, etc. Knowledge of one or more of the following: Python, or other statistical analysis tool. Knowledge of SQL and familiarity with RDBMS concepts. Prior experience in designing reports/dashboards in visualization tools like Tableau, Qlikview and PowerBI. Proven work examples of turning significant amounts of data into informative/insightful actions through various Statistical techniques that turn into business results. Experience in digital marketing preferred. Excellent communication, collaboration, client handling, and problem-solving skills. Good to have experience in Media Mix Modeling, Attribution Modeling. Have the right attitude to find solutions, be a self- starter and motivated. Does not shy away from a challenge, is curious and looking to make a big impact

If it sounds like you, we want you to apply!