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Data Science Lead - Machine Learning

Data Science Lead - Machine Learning

Anzy Global.Bangalore
30+ days ago
Job description

Job Description :

Function : Data Science and Analysis ? Data Science / Machine Learning, Software Engineering ? Backend Development

Machine Learning Python Data Modelling

Responsibilities :

  • Develop statistical and machine learning-based models / pipelines / methods to improve business processes and engagements.
  • Develop data-driven solutions that enhance customer experience, optimise efficiency, and mitigate risk.
  • Analysis : Identify business challenges and opportunities for improvement and solve for them using business statistics and data analysis to make strategic recommendations.
  • Execution : Includes the development of frameworks, hypotheses, tests, analysis, and options, scoping operational feasibility, leading implementation efforts, and developing a monitoring plan.
  • Translate data mining results into a clear business-focused deliverable for decision makers.
  • Knowledge of how to leverage statistical models in algorithms is a must.
  • Perform multivariate analysis : identifying how several parameters can affect the retention / behaviour of the customer and identifying actions at different points of the customer lifecycle.
  • Showcasing and honing your skills in a leading fintech with data-driven decision-making at its core.
  • Work in a challenging environment with one of the best analytical mindset teams in the industry.
  • Riding the growth bandwagon of a high-growth company.
  • See your models in live action, solving actual business problems.

Requirements :

  • Excellent coding skills : Python coding (a must skill) (or R), Excel, and developing SQL queries.
  • Demonstrable experience : of 2+ years in modelling techniques with structured and unstructured data.
  • Prior experience in a fintech in the portfolio, risk, or collections team is a strong plus. (Logistic Regression, Decision tree, xgboost).
  • If you have worked in collections in any capacity, we would love to talk to you.
  • Energetic self-starter who thrives in ambiguous situations.
  • Data Science Landscape : Great understanding of DS landscape | including ever-changing tools understanding | Excited at the prospect of learning newer models.
  • Strategic and Analytical Orientation : Exceptional Logical | Analytical | Reasoning skills complemented by rigor and strong quantitative orientation
  • Strong communication skills : Impeccable written and oral communications, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal, and negotiation skills.
  • Strong business judgment, leadership, and integrity : She / he should be a tenacious problem solver with good judgment and an open-minded approach.
  • Level of experience : 2 to 6 years.
  • BE / MS / PhD / BTech in Computer Science, Engineering, Math, Operations Research, Physics, Statistics, or Economics (focus on FinTech is a plus).
  • Work experience from similar companies is preferred, with relevant work experience in Data.
  • (ref : hirist.tech)

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