Job description

Job Description

Responsibilities

# Work on the latest applications of data science to solve business problems

# Work directly with client stakeholders to translate business problems into high-level analytics solution designs

# Present analytic solutions to business audiences highlighting the robustness of the solution and how it could help generate business value

# Demonstrated ability to identify business and technical impacts of user requirements and incorporate them into the p roject schedule

# Responsible for managing analytics problems, collaborating with client stakeholders, and Mindtree Consulting#s global team

# Actively lead and participate in discussions with team members to select and apply relevant analytic techni ques and create actionable business insights

# Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions

# Collaborate with product owners, desig ners, and a broad set of internal technical partners (across multiple internal groups)

# Work on building ML pipeline and ML Ops

# Work on Model governance, backtesting engine, model reproducibility

# Integrate market research, customer insights, and data insights to build a holistic understanding of market dynamics, deep customer understanding, impactful marketing levers, and brand performance to shape and grow clients offerings. Requirements

# 8 years of professional work experience with at least 8 years in data science # Master s Degree in a quantitative field (e.g. - Engineering, Physics, Statistics, Mathematics, Computer Science or Economics) or PhD.

# Excellent problem-solving skills, verbal written communication, and ability to explain technically complex concepts to business stakeholders

# Strong programming skills and experience with building models & analytical data products are required. Experience with technologies such as Big Data, PySpark, Hive, Scala, Python or R

# Experience working with data architectures, both structured and unstructured # Experience with python-based NLP libraries like spaCy.

# Understanding of the Confusion Matrix and ROC curve for model selection based on cost and performance # Demonstra.

Job Requirements: Machine Learning, Scala, Python, R Language, Data Modeling, Data Analysis

Job Type

Full Time

Location

CHENNAI

Mandatory Skills

  • Machine Learning

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