Full-Time

Director of Data Science

Confirmed live in the last 24 hours

TripleLift

TripleLift

201-500 employees

Programmatic advertising solutions and creative services

Cybersecurity
Design
Consumer Goods

Senior, Expert

Kitchener, ON, Canada

Category
Data Science
Data & Analytics
Required Skills
Scikit-learn
Agile
Python
Grafana
MySQL
Data Science
Tensorflow
Pytorch
Machine Learning
AWS
Pandas
JIRA
Databricks
Looker
Data Analysis
Snowflake
Google Cloud Platform
Requirements
  • Master's degree, or higher, in a related quantitative field (E.g. Mathematics, Computer Science, Engineering, Economics, or Operations Research), with a strong foundation in statistics, machine learning, and advanced analytics techniques
  • 8+ years of relevant experience in Data Science, with at least 5+ years in a leadership role, strong experience in mentoring and managing engineering teams in a fast-paced environment, and demonstrated ability to hire top talent to scale teams effectively
  • Deep understanding of real-time systems, predictive modeling, and algorithm development, and proven expertise in building and scaling machine learning systems for high-throughput, low-latency environments, preferably in AdTech
  • Proficiency with data science tools and programming languages, such as Python, TensorFlow, PyTorch, or similar, and experience with cloud-based platforms (E.g. AWS or GCP) and big data tools (E.g. Databricks, Snowflake, Grafana, Looker, MySQL)
  • Deep knowledge of ML tools and libraries (E.g. scikit-learn, pandas, ONNX, PyTorch) to quickly analyze data and prototype models that can be used in high volume distributed systems
  • Excellent communication and stakeholder management skills, with experience working cross-functionally with diverse teams (E.g. Engineering, Product and Commercial teams)
  • Strong project management skills with expertise in Agile methodologies and tools like JIRA
  • Exceptional analytical and problem-solving skills, with a focus on delivering business impact
Responsibilities
  • Define the vision and roadmap for data science initiatives, aligning with business goals
  • Lead, mentor, and expand a team of talented data scientists, foster a collaborative, inclusive, and growth-oriented team culture, while identifying hiring needs and recruiting top talent to scale the team
  • Drive exploratory research and experiments to analyze bidding behaviors in Triplelift’s real-time marketplace, and use it to develop, implement, and optimize state-of-the-art machine learning models for hyper low-latency, high-throughput, applications
  • Innovate novel, cost-effective, solutions for real-time bidding systems, supply path optimization, and traffic shaping to maximize value for stakeholders
  • Design scalable, efficient DS/ML systems capable of handling millions of inferences per second and processing petabytes of data daily, leveraging modern data science frameworks and cloud technologies to ensure robust and reliable systems
  • Collaborate with engineering teams to deploy and maintain machine learning models in production environments, and help define and implement strategies for data modeling, infrastructure, and data warehousing for DS applications
  • Monitor and evaluate the performance of deployed models, ensuring continual improvement and adaptation
  • Define the technical vision and establish best practices for data science, collaborating with Product Management and Commercial stakeholders to brainstorm impactful applications, outline requirements, set priorities, and consistently deliver valuable solutions, while clearly communicating progress and outcomes
  • Effectively communicate complex data science concepts to stakeholders with varying technical expertise
  • Drive agile project management practices, ensure timely delivery of data science projects, and communicate project status, risks, and opportunities to senior leadership and stakeholders
  • Stay up-to-date on emerging trends, tools, and technologies, and foster a culture of quality, innovation and continuous improvement, both within the Data Science team and the Data org as a whole
  • Ensure the team adheres to high standards of data quality, governance, and security

TripleLift specializes in programmatic advertising, using automated technology to buy and sell online ads across various formats like online video, Connected TV (CTV), and display ads. The company integrates with leading Demand-Side Platforms (DSPs), allowing clients to access diverse advertising experiences easily. Unlike many competitors, TripleLift emphasizes privacy and transparency in its advertising practices, building trust with consumers and clients. Their goal is to provide effective, privacy-conscious advertising solutions that deliver measurable results for top brands and advertisers.

Company Stage

Acquired

Total Funding

$18.2M

Headquarters

New York City, New York

Founded

2012

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for privacy-first solutions gives TripleLift a competitive market edge.
  • Partnership with Scope3 aligns with the trend towards sustainable advertising practices.
  • Expansion into retail media networks offers significant growth opportunities.

What critics are saying

  • Rapid AI evolution may outpace TripleLift's current capabilities, risking competitive disadvantage.
  • Disconnect in DE&I commitments could lead to reputational risks and missed opportunities.
  • New leadership roles may cause internal restructuring challenges and operational disruptions.

What makes TripleLift unique

  • TripleLift uses computer vision to create ads that blend with user experiences.
  • The company offers a wide range of ad formats, including CTV and native ads.
  • TripleLift emphasizes privacy-first advertising, building trust with consumers and clients.

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Benefits

Medical, dental, & vision

Unlimited PTO

401k w/ employer match

Short-term & long-term disability insurance

Company-wide weekly events

Learning & development

Tenure celebrations

Work-life balance