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Data Scientist, Machine Learning

3.00 to 5.00 Years   Mumbai City   15 Mar, 2021
Fractal Analytics
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryKPO / Analytics
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Data Scientist, Machine Learning

  • Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions.
  • Fast learner: ability to learn and pick up a new language/tool/ platform quickly.
  • Conceptualize, design, and deliver high-quality solutions and insightful analysis.
  • Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems.
  • Collaborate and Coordinate with different functional teams(engineering and product development) to implement models and monitor outcomes.
  • Ability to deliver AIML based solutions around a host of domains and problems, with some of them being: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization
Experience Required:
  • Expert level proficiency in Python.
  • Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms.
  • Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance.
  • Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes.
  • Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.
  • We use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modeling, dimensionality reduction, SEM, GLM, GLMM, clustering, Deep learning etc. on a regular basis. If you know few of them you are good to go.
  • Hands on experience on Azure ML, Pyspark and Databricks
Good to Have:
  • Experience in one of the upcoming technologies like deep learning, NLP, image processing, recommender systems
  • Experience of working in on one or more domains:
  • CPG: pricing and promotion analytics, marketing analytics, trade promotions, supply chain management
  • BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection
  • Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse
  • Experience in working with Linux computing environment and use of command line tools like sed/awk
  • Good grasp on databases including RDBMS, NoSQL, MongoDB etc.
Education QualificationB.Tech / M.Tech in Computer Science / Mathematics / Signal Processing or related fields from one of the premier Institutes (IITs/NITs/BITS),

Keyskills :
sqldata sciencedeep learningtime seriesfortune 500machine learningsmall partssupply chainpythondata analysisanalyticsmarketing mix

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