AI/ML Jobs

The artificial intelligence, machine learning, and deep learning jobs.

Head of Data science at POSHMARK Inc (Chennai, India)

Are you a Data Science leader who is passionate about using Machine Learning to create and deliver value from Data? Poshmark is looking for a Data Science leader to lead its Data Science team. As a market leader in Social Commerce, Poshmark faces unique opportunity to utilize our massive multi-platform social and commerce data to shape social commerce and create value for our users. With 400+ MM events per day and 30+ terabytes of exponentially growing data, Poshmark presents a unique opportunity to innovate cutting edge data science products. This person will own all Data Science initiatives across product, marketing, Posh markets, operations and community. You will report into Poshmark India GM and our Chief Data Officer and will have the opportunity to take our Data Science capabilities to the next level.

Key responsibilities

  • Partner with executive team and other data leaders to identify high business impact opportunities for machine learning
  • Develop a short term to long term roadmap for building machine learning powered solutions across product, operational efficiencies and business insights.
  • Lead cross-functional efforts on prioritization and business case development to get exec team approval for top priorities
  • Partner with technology, data engineering and ML engineering teams to bring the right tech stack needed for developing, managing and maintaining machine learning models at scale
  • Codify and implement a rigorous end-to-end ML development process. Define, enable and execute on required processes for maintaining ML models
  • Develop solution vision, business case, modeling spec and operational project plans for end-to-end ML solution
  • In partnership with data leaders and ML engineering team, lead development of machine learning models. Collaborate with ML engineering team on productionalization and management of full model life cycle
  • Define and abstract standard building blocks for usage across multiple ML algorithms. Lead productization, development and maintenance of these. E.g. feature library, model testing automation, model validation and recommendation automation 
  • Innovate new solutions for unique challenges facing Poshmark. Publish academic papers, white papers, blog posts and present in leading conferences.
  • Inspire and motivate a cross-functional team. Invest in driving career growth for all team members.
  • Hire, retain, and develop outstanding and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists
  • Externally/internally hire right talent to develop innovative ML driven data products


  • 10+ years of experience in Data Science function with at least 5 years in senior leadership role and 5 years as hands-on data scientist in building scalable ML algorithms in Big Data environment
  • 5+ years of demonstrated success in leading end-to-end data science solutions development. Fluency in all steps of data science solution development cycle from business problem identification to business value delivery
  • Strategic thinking with strong business acumen. 5+ years of experience in interacting with executive teams to identify and deliver high impact data science solutions
  • Passionate to build and scale a technically advanced and business value focused data science function. 
  • Expert level theoretical and applied knowledge of key machine learning algorithms, relevant programming languages and relevant open-source technologies and packaged ML software. 
  • Experience partnering with ML engineering teams in implementing ML models
  • Experience building and mentoring data science teams. Experience in building data science function from ground-up across all pillars: people, process, algorithms and technologies is a huge plus
  • Excellent verbal and written communication skills for a variety of audiences: executive teams, product managers, engineers, and business leaders
  • PhD or MS in a relevant quantitative field such as Statistics, Math, Computer Science is a huge plus.