About the Role
The Data Science team focuses on leveraging data to understand customer needs, optimize engagement workflows, and drive product innovation. This role involves close collaboration with data scientists, machine learning engineers, and application engineers to define and execute data-driven strategies that improve customer outcomes and product performance.
Responsibilities
- Design, build, and refine machine learning systems for scalable performance.
- Lead full-cycle development of machine learning applications, from research and prototyping to deployment in production environments.
- Collaborate with product managers, designers, and customers to shape product vision and strategic direction.
Requirements
- Capable of functioning independently as a data scientist and software engineer with minimal supervision.
- Familiarity with the full lifecycle of machine learning product development, from concept through to production deployment.
- Proficient in at least one programming language such as Python or Golang.
- Experience developing and maintaining microservices architectures.
- Extensive background in building and managing infrastructure for deploying ML models in production.
- Hands-on experience with distributed data processing tools like Spark.
- Solid understanding of statistics and machine learning, with proven application to real-world problems.
- Self-motivated and adaptable, with a track record of quickly learning new technologies and experimenting with novel solutions.
- Demonstrated commitment to supporting and uplifting team members.
- Able to collaborate effectively with engineers, designers, and product managers to deliver customer-facing features.
- Bachelor’s or higher degree in Computer Science, Data Science, or a related field, with 4 to 6 years of relevant industry experience.
Nice to Have
- Prior experience in generative AI or AI agent development.
- Familiarity with frameworks such as Langchain or OpenAI Agent SDK.
- Experience working with Golang.
- Exposure to Spark MLlib, AWS, Databricks, or MLFlow.
Benefits
- Competitive compensation package
- 25 days of paid annual leave plus sick and casual leave
- Comprehensive group medical insurance covering employees and up to five family members
- Outpatient care benefit up to INR 10,000
- Life and personal accident insurance equal to three times annual salary
- 26 weeks of paid maternity leave and 15 days of paid paternity leave
- Eligibility to receive Restricted Stock Units as part of company performance
- Active diversity and inclusion initiatives supporting employee resource groups including women, Latinx, Black, AAPI, LGBTQIA+, disability, veteran, and gender communities
- Employee referral bonuses for successful hires
- Regular team and company events that emphasize work-life balance
Compensation
Highly competitive salary
Work Arrangement
Not specified
Team
Data is central to the company's strategy, driving customer success and product innovation through analytics, AI, and experimentation.
About Outreach
Founded in 2014, the company offers a comprehensive agentic AI platform tailored for revenue teams. It integrates agentic AI, conversation intelligence, and assistive AI to support hundreds of use cases across revenue operations. The platform automates workflows in prospecting, expansion, deal acceleration, retention, and forecasting, enabling sales teams to focus on strategic activities. It provides revenue leaders with unified account visibility, performance analytics, and improved forecasting accuracy. Clients include global enterprises such as Databricks, SAP, Siemens, and Verizon.
About the Team
Data is fundamental to the company's strategy, powering customer success and product innovation. The team applies data to customer health scoring, revenue dashboards, infrastructure monitoring, natural language understanding, and predictive analytics. As the customer base expands, the team explores new ways to leverage data for deeper customer insights and improved engagement workflows. The Data Science team's mission is to optimize customer engagement by reconstructing workflows from data, developing performance metrics, and building optimization tools. Team members collaborate closely with data scientists, ML engineers, and application developers to deliver on this mission.
Your Daily Adventures Will Include
- Design, implement, 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, designers, and customers to define vision and strategy for a given product.
Our Vision of You
- A hybrid data science engineer who can navigate both sides with little help from others.
- You understand the typical lifecycle of machine learning product development, from inception to production. Experience in Gen AI application/agent development is a plus.
- You have strong programming skills in at least one programming language (Python, Golang, etc.). Experience in frameworks like Langchain, OpenAI Agent SDK is a plus.
- You have experience building microservices. Experience with Golang is a plus.
- You have substantial experience with building and managing infrastructure for deploying and running ML models in production.
- You have experience working with distributed data processing frameworks such as Spark. Experience with Spark's MLlib, AWS, Databricks, MLFlow are a plus.
- You have some knowledge of statistics and machine learning and have practical experience applying it to solve real-world problems.
- You are hands-on, able to quickly pick up new tools and languages, and excited about building things and experimenting.
- You go above and beyond to help your team
- You should be able to work alongside experienced engineers, designers, and product managers to help deliver new customer-facing features and products.
- You have a degree in Computer Science, Data Science, or a related field, and 4-6 years of industry or equivalent experience.
Why You’ll Love It Here
- Highly competitive salary
- 25 days annual vacation time + sick time and casual leave
- Group medical policy coverage available to employees and up to 5 eligible family members
- OPD benefit covered up to INR 10,000
- Life insurance and personal accident insurance at 3x annual CTC
- 26 weeks of maternity leave pay, and 15 days of paternity leave pay
- Opportunity to be part of company success via the RSU program
- Diversity and inclusion programs that promote employee resource groups like OWN+ (Outreach Women's Network), Adelante (Latinx community), OBX (Outreach Black Connection), Mosaic (AAPI community), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military
- Employee referral bonuses to encourage the addition of great new people to the team
- Fun company and team outings because we play just as hard as we work
