Data Scientist

Data Scientist - Supersourcing | Career Page

Data Scientist

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Job Openings Data Scientist

About the job Data Scientist

We are seeking experienced data scientists to join our team in creating an AI-driven

fintech solution. As part of our cross-functional team, you will play a crucial role in

ideation, research, prototyping, and production. You will analyze complex datasets,

develop predictive models, and extract actionable insights to drive business growth and enhance our products. Your expertise will ensure the best user experience for our

customers.

Responsibilities

Build, deploy, and scale Data Science solutions on generating AI-driven transaction

insights for users

Understand business objectives and deep dive into existing data to recommend

new product ideas to solve for the most impactful customer problems

Use your experience in Data Science, Machine Learning, Software Engineering,

distributed systems to develop these systems, and work with the platform team to

take the systems to production

Work with Business teams to continuously refine and improve the systems to cater

to ever-changing needs

Align with stakeholders on key product metrics, design and propose experimentation strategies.

Launch A/B tests, analyze experiment results and provide recommendations

Design and own frontend and backend data specs for new products, while

collaborating with engineering teams to ensure accurate and timely data collection

Understand business objectives and deep dive into existing data to recommend

new product ideas to solve for the most impactful customer problems

Use data to identify trends, spot anomalies and deep dive into their root causes

Requirements

Graduate of BS/BA Computer Science, Information Technology, Statistics,

Mathematics, Operations Research, or other related courses

Senior Data Scientist -

Proven experience as a Data Scientist (preferably 5 years), with a strong track

record of delivering impactful data-driven solutions.

Strong problem solving, quantitative, and analytical skills

Solid knowledge of Data Science and Machine Learning fundamentals, with proven

experience formulating Data Science solutions to business problems

Proven ability to recognize business needs and to communicate with multiple

stakeholders within the Product Management, Business and Operations teams

Proficiency in programming languages such as Python or R, along with expertise in

data manipulation, analysis, and visualization

Ability to deliver on tight timelines and move quickly with cross-functional teams to

execute on decisions while maintaining attention to detail

Experience in handling Warehouse operation data is an advantage

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