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 orientationStrong 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)