Outreach

SaaS

StaffDataScientist

Hyderabad, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Staff Data Scientist at Outreach. Skills: Agentic AI, Machine Learning, Data Science, GenAI, MLOps. Design, implement, and improve machine learning Systems. Contribute to machine learning applications end to end, i. e. from research to prototype to production”

What You'll Achieve.

Deliver new customer-facing features and products; Enable continuous optimization by reconstructing customer engagement workflows from data; Develop metrics to measure the success and efficiency of these workflows; Provide tools to support the optimization of these workflows

Industry & Context.

SaaS
Problems you'll solve

Applying statistics and machine learning to solve real-world problems

What They're Looking For.

Must Have

Degree in Computer Science, Data Science, or a related field, 7-10 years of industry or equivalent experience, Programming skills in at least one object-oriented programming language (Java, Scala, C++, Python, Golang, etc.), Experience with building and managing infrastructure for deploying and running ML models in production, Experience working with distributed data processing frameworks such as Spark, Knowledge in statistics and machine learning, Practical experience applying statistics and machine learning to solve real-world problems

Nice to Have

Experience with LangChain, Experience with LangGraph, Experience building microservices, Experience with Golang, Experience with Spark's MLlib, Experience with AWS, Experience with Databricks, Experience with MLFlow

What You'll Do.

and improve machine learning Systems

Contribute to machine learning applications end to end

i. e. from research to prototype to production

Work with product managers

and customers to define vision and strategy for a given product

Reconstruct customer engagement workflows from data

Develop metrics to measure the success and efficiency of these workflows

Provide tools to support the optimization of these workflows

How You'll Work.

Team & Collaboration

Work closely with other data scientists, machine learning engineers, and application engineers; Work alongside experienced engineers, designers, and product managers

Full Job Description

## Description About Outreach   Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.  About the Team   Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers’ needs and deliver new products and features to help continuously improve their customer engagement workflows.   The mission of the Data Science team is to enable such continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows.   As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement our strategy to deliver on our mission. ## Your Daily Adventures Will Include Design, implement, and improve machine learning Systems. Contribute to machine learning applicati

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