Senior Data Scientist

We at Pine Labs are looking for those who share our core belief - Every Day is Game day. We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services.

Role Purpose

Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.

The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.

Responsibilities We Entrust You With

• Work closely with teams to architect, develop, and maintain data science, advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services.
• Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights.
• Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions.
• Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects
• Provide 1st level insights/conclusions/assessments and present findings.
• Apply quality control, data validation, and cleansing processes to new and existing data sources.
• Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
• Bring your Passion and Expertise

What Matters In This Role

• 5+ years of experience in Data Scientist/Data Science or related fields
• Bachelor's or Master's Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics
• Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
• Fine-Tunning, Datasets preparation, Llama 3.1 /3.2 Open source model training, transformer, PEFT, LoRA, QLoRA techniques etc.
• Financial Institution or a Payments experience a plus
• Experience presenting data findings in a readable and insight driven format. Experience building support decks.
• Advanced SQL skills, ability to write optimized queries for large data sets (Big data)
• Experience on Platforms/Environments
• Experience with data visualization tools
• Experience with Python, R, Databricks a plus
• Experience on SQL
• Excellent problem solving, quantitative and analytical skills
• In depth technical knowledge, drive and ability to learn new technologies
• Strong attention to detail and quality
• Team player, excellent communication skills
• Must be able to interact with management, internal stakeholders and collect requirements
• Must be able to perform in a team, use judgment and operate under ambiguity

Things You Should Be Comfortable With

• Working from office: 5 days a week ( Sector 62, Noida)
• Pushing the boundaries: Have a big idea See something that you feel we should do but haven't done We will hustle hard to make it happen. We encourage out of the box thinking, and if you bring that with you, we will make sure you get a bag that fits all the energy you bring along.

What We Value In Our People

• You take the shot: You Decide Fast and You Deliver Right
• You are the CEO of what you do: you show ownership and make things happen
• You own tomorrow: by building solutions for the merchants and doing the right thing
• You sign your work like an artist: You seek to learn and take pride in the work you do