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Data Scientist

3.00 to 6.00 Years   Pune   20 Oct, 2021
Fractal Analytics
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryKPO / Analytics
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

Brief about the Team & Fractal:Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business.Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling.

  • Our mission is to help companies move towards higher levels of sophisticated and institutionalized use of analytics.
  • Understand, predict and influence consumer behavior
  • Improve marketing, pricing, supply chain, risk and claims management
  • Harmonize data, visualize information, build dashboards and forecast business performance.
StreamFlux is a self-serve data science platform that allows the building of a batch and streaming pipelines in a matter of minutes. It performs data processing such as aggregation, transformations, filtering and enrichment of the data, in the cloud or on-premise. Through its advanced analytics and data science capabilities it offers model training, scoring, monitoring, and validating, thus enabling power users of enterprises such as data engineers, data architects, business analysts, and data scientists to build complex data engineering and machine learning pipeline at ease.Roles & Responsibilities
  • Role Brief:Streamflux team needs hands-on developers who can produce beautiful & functional code to solve complex analytics problems. If you are an exceptional developer with an aptitude to learn and implement using new technologies, and who loves to push the boundaries to solve complex business problems innovatively, then we would like to talk with you.Responsibilities:
    • 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
    Qualifications & Experience:3 to 6 years of demonstrable experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.Experience:
- 3+ years of industry experience working as a data scientist or similar- Must have productionized machine learning models at scale- Experience with exploratory data analysis, statistical analysis, and testing, and model development- Proficiency in Python,SQL- Experience with PySpark, SparkR or Scala- Good knowledge of Deep learning framework ( Keras / PyTorch / Tensorflow )- Working understanding in areas of machine learning methods and traditional statistical analysis, Bayesian modeling, traditional ML, Deep Learning, RL and optimization- Strong experience in building Machine learning (ML) models and experience in deploying solutions in big data production systems on premise or cloudEducation
  • B.E/B.Tech in Computer Science or related technical degree
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Keyskills :
marketing mixdeep learningexploratory data analysisanalyticsfortune 500sqlpythondata architectsdata sciencemachine learningbig datasupply chaindata processingdata analysislifetime value

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