Senior/Lead Data Scientist

Summary

Join Tide as a seasoned Lead Data Scientist and build intelligence into products that deliver significant business value to the Partnership credit services business vertical. Work closely with the Partnership Credit Services team to solve business problems and develop data science initiatives to improve business performance. You will be responsible for understanding business requirements, creating data products, identifying solutions for training data sets, training and optimizing models, and collaborating with engineers to productionize models. This role requires strong leadership skills, experience in financial services (especially credit services), and expertise in machine learning tools and big data technologies. Tide offers a competitive salary, comprehensive benefits, flexible working arrangements, and opportunities for professional development.

Requirements

• You have 6+ years of experience in Software development or Machine Learning. Strong in Python
• You have extensive experience with Machine Learning tools - scikit-learn , TensorFlow, Keras or PyTorch
• You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. Strong knowledge of Cloud (AWS or other)
• You have excellent leadership skills - you have managed a team of data scientists before and coached them to become better versions of themselves
• You have excellent business acumen, you manage to translate business problems into data products
• You have excellent communication skills including the ability to explain statistical concepts and technical tradeoffs to business users
• You have experience in training, optimising and deploying a variety of ML-algorithms, such as logistic regressions, boosted trees and neural networks
• You’re a self-starter - you take initiative in spotting opportunities and finding ways to solve challenges with data
• You have ability to deal with ambiguity and competing objectives in a fast paced environment
• You have experience working in agile teams
• You have familiarity with basic data table operations (SQL etc.), data transform in warehouse (dbt etc.) and business intelligence softwares (eg. Looker)
• You have familiarity with model observability and explainability at scale

Responsibilities

• Work closely with our Partnership Credit Services team in order to solve business problems that drive effective decisions for the business. This would be in areas of Lender Behaviour, Lead Priority Engine and Intelligence to match Lenders with Prospective Members
• Come up with High level road map for Data Science initiatives that can aid decisioning and improve Business Performance
• Understand business requirements and solutionize data products in order to solve them
• Identify creative solutions in order to build relevant training data sets
• Train models and optimize hyperparameters
• Work closely with our machine learn engineers and data engineers in order to productionize models
• Come up with adoption of newer methods and methodologies
• Coach junior data scientists on best practices

Preferred Qualifications

You have extensive experience working within financial services, especially Credit Services but not mandatory

Benefits

• Competitive salary
• Self & Family Health Insurance
• Term & Life Insurance
• OPD Benefits
• Mental wellbeing through Plumm
• Learning & Development Budget
• WFH Setup allowance
• 15 days of Privilege leaves
• 12 days of Casual leaves
• 12 days of Sick leaves
• 3 paid days off for volunteering or L&D activities
• Stock Options
• Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year