Data Scientist

Episource India pvt ltd

Roles and Responsibilities:
 Understand business issues, stakeholder requirement and expectations
 Perform relevant modeling analysis and POC exploring multiple techniques
 Ensure Analytics model quality
 Document and present findings and recommendations on methodology in a structured way to various stake holder or partnering teams (Engineering, Tech, Product leader).
 Work closely with the Engineering/Techteam/Support to convert those POC into fully scalable solutions.
 Active and effective collaboration with other project team members(other Data Scientist,Data Engineer,Technology Engineer)
 Collaboratively manage projects from timeline creation to project completion, managing expectations with leaders and colleagues
 Encourage team building, best practices sharing especially with more junior team members.
 Stay abreast of developments in the area to ensure bringing the most appropriate solutions to our business
Our Expectations About You
You’ve built a decent track record in research and data analytics. And you have the communication chops to translateit all into conversations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. Keeping up with the fast-changing world of technology, takes someone who recognizes that.You know what’s happening in big data and you’re ready to influence what’s next.
 Master’s degree in Data Science, Mathematics, Statistics, Economics or a closely related field
 3to7 years of experience as a Data Scientist/Senior Data Scientist in the business
 Strong knowledge of statistical modelling, machine learning.
 Experience in machine learning, supervised and unsupervised: Forecasting, Classification, Data/Text Mining,NLP, Decision Trees,
Adaptive Decision Algorithms,RandomForest,SearchAlgorithms,NeuralNetworks, Deep Learning Algorithms
 Experience with Optimization techniques: linear programming, integer programming, genetic algorithm, constrained opti mi zation
 Experience in working on distributed or cloud computing platforms such as Google Cloud or Microsoft Azure
 Proficiency in Data Science coding languages like Python,PySpark,SQL,Rina cloud environment like Data Bricks
 Experience using collaborative development tools (git).
 Experience working with Agile methodologies(SCRUM)
 Strong problem solving and excellent communication skills,independent working style

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