Data Scientists

About the job

Job Title: Data Scientists Location : Gurgaon, Bangalore, Pune, Noida, Mumbai, Hyderabad Experience : SA L1 - 5-7yrs/SA L2 - 7-9yrs/Manager - 9 - 14 yrs • *12 months recent career gap mandatory** ONLY WOMAN CANDIDATES APPLY JOB TITLE - DATA SCIENTISTS EXPERIENCE Manager - 10+ years with at least 7+ years of DS SA L2 - 7+ years with at least 2 + years of DS SA L1 - 4+ years with at least 2+ years of DS experience PRIMARY RESPONSIBILITIES • Understand Business problems and KPIs by holding discussions with relevant customer stakeholders • Prescribe the right data science approach to solve customer’s Business problems • Identify the different data sources needed for project execution – including both internal and external data • Ensure proper DQ checks are done and the data is well understood by the Team • Document DQ related issues and barriers and take it up with Customer stakeholders • Generate hypothesis for performing various Exploratory analysis and lead the effort • Storyboard the findings in data and explain the Business value convincingly to customers • Drive analytical modeling using a variety of learning algorithms and ability to compare model outputs without Bias • Demonstrate Business value of Analytical models and ensure they are deployed in Production • Prescribe the right Data technologies to use in Production and lead the Data pipelining effort for production • Orchestrate Data and ML solutions using Cloud services • Employ CI/CD practices in Model deployment and produce a state-of-art model deployment that can be Traceable • Be the anchor for Customer calls and ensure customer communication is effective • Ensure that right coding guidelines and processes are followed by the Team • Institutionalize good Data Science practices in the Team • Ensure proper documentation via good project management tools like Confluence, JIRA etc. • Author Technical blogs both internally and externally and evangelize the Team’s efforts EXPERIENCE • BS/MS in Computer Science, Math, Physics, Engineering, Statistics or other quantitative or computational field. Advanced degrees preferred • Should know what model to apply and in what situation to apply (know advantages and disadvantages of ML /DL techniques) • Proven ability to perform in-depth analysis, compile and interpret results • Demonstrate proficiency with various approaches in regression, classification, and cluster analysis • Good understanding of applied statistics, such as probability distributions, measures of dispersion and central tendency, hypothesis testing and statistical inferences. • Demonstrate proficiency in at least one Deep learning technologies • Demonstrated Experience in at least in one of the following NLP/computer vision/operations research/data mining/ML/AI • Must have experience ML models in R/ Python • Demonstrable strength in programming in Python/R/Scala • Should have good experience in Object oriented technologies and Design • Experience with one or more data visualization tool / library such as Tableau, R Shiny, Seaborn, etc • Expertise in SQL programming languages and familiarity with Hive, Pig • Excellent quantitative skills and the ability to tell a story using data • Strong communication and presentation skills • Ability to initiate and drive projects from conception to completion with minimal guidance • Passionate about turning data into actionable insights GOOD TO HAVE: • M.S. in Computer Science, Math, Physics, Engineering, Statistics or other quantitative or computational field • Expertise in application of machine learning algorithms on large datasets • Experience with large datasets and distributed computing (Hadoop, Spark) a plus • Experience accessing data, map-reduce programming style and training models in Hadoop, Spark • Experience in deploying models in cloud platforms such as Google Cloud/Microsoft Azure/AWS is a plus • Nice to have knowledge of NoSQL DBs like MongoDB, Cassandra and HBase • Contribution to research community reflected in publications in top conferences/Kaggle competitions • Knowledge of latest DL technologies PERSONAL ATTRIBUTES • Strong written and verbal communication skills • Articulation skills • Good team player • Self-starter who requires minimal oversight • Ability to prioritize and manage multiple tasks • Process orientation and the ability to define and set up processes