---
title: 'Senior Data Scientist at TripleLift'
canonical: 'https://feeny.ai/job/senior-data-scientist-triplelift-pune-admnpa3m8qyz'
type: 'job'
last_seen: '2026-10-26'
---

# Senior Data Scientist at TripleLift 

- **Company:** TripleLift 
- **Location:** Pune, India
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-10-26
- **Apply:** https://triplelift.com/careers-posts/?gh_jid=8286795

## Job description

TripleLift is the Creative SSP powered by TL Spark, our agentic intelligence layer. We orchestrate creative, supply, audience, and measurement into a single outcome-driven system across the open internet, retail media, and CTV. Our platform enables brands and agencies to drive measurable performance while helping publishers maximize yield and preserve high-quality user experiences.

## Overview

The Data Scientist / Machine Learning Engineer plays a critical role in improving the performance of TripleLift’s bidding algorithms and developing scalable machine learning solutions that drive better outcomes for our customers. Within the Data Science team, this role combines statistical analysis, experimentation, and machine learning engineering to uncover market insights, optimize bidding performance, and build production-ready systems.

In this position, you will partner closely with engineering, product management, and business stakeholders to identify opportunities, test hypotheses, and translate data-driven insights into measurable business impact. This is an exciting opportunity for someone who enjoys solving complex problems, working with large-scale datasets, and building reliable machine learning systems in a collaborative, fast-paced environment.

## Responsibilities

- Design and run experiments to improve bidding algorithm performance and maximize outcomes for TripleLift’s customers.
- Apply statistical analysis and advanced analytics techniques to understand market dynamics and deliver actionable insights and recommendations.
- Develop, implement, and maintain scalable, production-ready machine learning pipelines and systems, applying best practices in ML engineering.
- Collaborate with engineering, product management, and business stakeholders to identify opportunities, solve challenges, and drive data-informed decisions.
- Monitor and evaluate deep learning and machine learning systems to ensure performance, reliability, and effectiveness in production environments.

Core Technologies

The Data Science team uses a wide range of technologies to solve complex problems and support scalable data science and machine learning solutions. We believe in using the right tools for the right job and continually evaluating new technologies as our needs evolve.

- Languages: Python
- Frameworks and Tools: Spark, Airflow, Databricks, ONNX, Docker
- Databases and Data Storage: MySQL, Snowflake, Amazon S3, Parquet
- Cloud Infrastructure: Amazon Web Services (AWS)
- Machine Learning Libraries: TensorFlow, PyTorch, Scikit-learn, Spark
- Monitoring and Visualization: Prometheus, Grafana

Education & Requirements

- A degree in a technical or quantitative field is preferred. Candidates with relevant professional experience and degrees in other disciplines will also be considered.
- At least five years of professional experience in data science and/or machine learning within a collaborative work environment.
- At least two years of professional experience developing data science and machine learning models in a programmatic advertising environment.
- Strong foundation in statistical analysis, deep learning, and machine learning techniques.
- Hands-on experience with TensorFlow or PyTorch to prototype models for high-volume, distributed systems.
- Experience monitoring and measuring statistical model performance using tools such as Prometheus and Grafana, including building dashboards and alerts to identify performance issues and ensure models function effectively.
- Strong organizational, communication, and attention-to-detail skills.
- Ability to work efficiently and independently with minimal oversight.
- Openness to feedback and constructive criticism, with a commitment to continuous learning and professional development.
- Strong work ethic and a demonstrated commitment to delivering high-quality work

At TripleLift, we believe great work starts with great people. We foster a culture built on collaboration, curiosity, and a shared commitment to making each other better. We move with urgency, challenge convention, and continuously innovate to elevate digital advertising. We value people who bring new perspectives, take ownership, and work together to drive meaningful impact. Learn more about TripleLift and our culture on our [LinkedIn Life page](https://www.linkedin.com/company/triplelift/life/tripleliftpeopleculturecommunity).

Please review our [Privacy Policy](https://triplelift.com/privacy/) for information about how TripleLift handles personal information.

TripleLift does not accept unsolicited resumes from recruitment search firms. Any resume submitted without a signed agreement in place will become the property of TripleLift, and no fee will be due.

## About TripleLift 

## Company Overview
- **One-liner**: TripleLift is a creative supply-side platform (SSP) that orchestrates data, creative, and supply to help brands move from buying impressions to engineering measurable advertising impact.
- **Entity Type**: Private (funding stage not publicly disclosed)
- **Headquarters**: New York, NY, USA
- **Founded**: 2012
- **Founders**: Not publicly available (founder names are not listed on the company’s official site or in the provided sources)

## Core Business
- **Primary industry**: Advertising Technology (AdTech)
- **Target customers**: B2B – publishers (supply side) and brands/advertisers (demand side)
- **Mission or purpose statement**: “Impact by Design” – every impression has the potential to deliver impact when creative, data, supply, and measurement are designed intentionally to work together from the start.

## Products & Services
- **Creative SSP**: The core platform that connects data, creative, and supply into one coordinated system for omnichannel advertising.
- **TL Spark**: An intelligence layer that connects every signal across campaigns and continuously improves advertising performance.
- **Supply & Curation**: Tools for publishers to unlock the full impact of their inventory while elevating the user experience.
- **Measurement**: Solutions that track attention, perception, and outcomes – including brand lift in CTV, purchase intent in retail media, and ad recall benchmarks.
- **Optimization**: Features that reduce waste (50%+ reduction claimed) and improve conversion rates.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual revenue not publicly available; total funding not disclosed
- **Notable Investors/Partners**: Not listed in provided sources
- **Growth Signals**:
  - 350+ employees (335 according to Built In)
  - 6 global offices across 4 continents
  - Reported performance metrics: 3.6x ROI (Forrester TEI study), 272% increase in purchase intent for retail media, 7.9x brand lift in CTV, 50%+ waste reduction
  - Strong presence in native advertising, now evolved to full omnichannel coverage

## Competitive Advantages
- **Creative-first approach**: Built on innovative ad formats starting with native, now spanning all channels.
- **Orchestration layer**: TL Spark coordinates creative, curation, audience, and measurement as one system rather than siloed point solutions.
- **First-party publisher data focus**: Future-forward data strategy built around publisher first-party data, making it privacy-compliant and scalable.
- **Proven results**: Case studies and third-party studies (Forrester) show significant lifts in attention, brand perception, and conversion.

## Strategic Focus
- **Orchestration era**: Moving beyond simple impression delivery to engineering impact through coordinated systems.
- **Retail media & CTV**: Key growth areas where TripleLift claims strong performance (purchase intent, brand lift).
- **Continuous innovation**: Emphasis on learning and adapting to a dynamic ecosystem, with a founder’s mentality across the organization.

## Why Work Here
- **Culture & Values**: Core values include “Win as a Team,” “Learn & Grow,” “Embrace & Drive Change,” “Operate with a Founder’s Mentality,” and “Own Your Piece, Know the Puzzle.”
- **Learning & Development**: Annual learning stipend, coaching/mentoring opportunities, internal rotation programs.
- **Work-Life Balance**: Paid time off, leave options, and a 5-year sabbatical (1 month).
- **Wellness**: Headspace subscription, mental wellbeing support, physical care, financial advice, paid parental leave.
- **Health Benefits**: Competitive medical, dental, vision; company-paid short-term and long-term disability.
- **Work Environment**: Hybrid workspace (combination of remote and on-site), with in-office locations in New York and other global offices.
- **Community**: Employee Resource Groups (ERGs), monthly Lift Lab sessions, events, and company-wide Pulse meetings to stay connected.
- **Tenure Celebrations**: 5-year anniversary includes a 1-month sabbatical.

## Sources
1. [triplelift.com](https://triplelift.com/)
2. [triplelift.com/careers/](https://triplelift.com/careers/)
3. [triplelift.com/about/](https://triplelift.com/about/)
4. [triplelift.com/careers-posts/](https://triplelift.com/careers-posts/)
5. [builtin.com/company/triplelift](https://builtin.com/company/triplelift)

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