Company Description

Assent is the leading solution for supply chain sustainability tailored for the world’s top-tier, sustainability-driven manufacturers. Hidden risks riddle supply chains, many of which weren't built with sustainability in mind. That's where we step in. With insights from experts, Assent is the tool manufacturers trust for comprehensive sustainability.

We are proud to announce that Assent has crossed the US$100M ARR milestone, granting us Centaur Status. This accomplishment, reached just 8 years following our Series A, makes us the first and only Certified B Corporation in North America's SaaS sustainability industry to celebrate this milestone.

Our journey from $5 million to US$100M ARR in just eight years has been marked by significant growth and achievements. With our $350 million US funding led by Vista Equity Partners, we're poised for even greater expansion and are on the lookout for outstanding team members to join our mission.

Hybrid Work Model

At Assent, we proudly embrace a remote-first work model, valuing the flexibility and autonomy it provides our team. We also acknowledge the intangible benefits of occasional in-person workdays. For team members situated within 50 kms/31 miles of our five global offices in Ottawa, Eldoret, Penang, Columbus, Pune and Amsterdam, you can expect to come into the office at least one day a week. Similarly, those near our co-working spaces in Nairobi and Toronto are encouraged to work onsite once a month.

Job Description

Uncover insights that shape smarter, sustainable growth

At Assent, we’re on a mission to help the world’s most responsible companies build deeper trust across their supply chains. As we scale, data plays a critical role in guiding how we drive revenue, deliver value to customers, and continuously improve our go-to-market strategy.

We’re seeking a mid-career Data Scientist to join our Revenue Analytics team, working closely with global peers—including the Director of Revenue Analytics, Analytics Engineers, Business Analysts and broader global Revenue Operations team members—to unlock predictive insights that move the business forward. This full-time onsite role in Pune is ideal for someone who thrives in a collaborative, fast-paced environment and brings a passion for experimentation, modeling, and real-world business impact.

What you’ll do

• Turn data into insight – Analyze complex datasets across Sales, Marketing, and Customer Success to uncover trends, behaviors, and opportunities for growth.

• Build predictive models – Design and deploy machine learning models that forecast outcomes such as pipeline conversion, customer retention, sales capacity, and revenue performance.

• Drive GenAI initiatives – Partner with stakeholders to build and experiment with GenAI applications and large language models that support efficiency, content generation, and personalization across the GTM engine.

• Collaborate globally – Work closely with the Analytics Engineer and Revenue Operations leaders in Ottawa and other global locations to align on data infrastructure, share models, and co-develop analytics products.

• Partner with business teams – Translate data science into action by working directly with Revenue leaders, presenting clear recommendations, and co-building solutions with business teams.

• Ensure quality and transparency – Uphold best practices in data hygiene, reproducibility, and documentation; contribute to a strong, transparent data science culture within Assent.

• Stay curious – Continuously explore new tools, methods, and data sources that can drive better decision-making across the go-to-market lifecycle.

Qualifications

• 3–6 years of hands-on experience in data science roles, ideally supporting GTM functions (Sales, Marketing, Revenue Ops, Customer Success).

• Strong programming skills in Python, with experience in libraries such as pandas, scikit-learn, NumPy, XGBoost, or equivalent.

• Proficiency in SQL and data querying from cloud data warehouses like Snowflake.

• A solid grasp of statistical techniques, hypothesis testing, A/B testing, and machine learning frameworks.

• Experience working with LLMs or GenAI frameworks to solve real business problems is highly valued.

• Ability to communicate insights clearly and influence non-technical stakeholders using visualizations and storytelling.

• Demonstrated success working with distributed global teams and cross-functional stakeholders.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.

Additional Information

Life at Assent

Wellness: We believe that you and your family’s well being is important. As a result, we offer vacation time that increases with tenure, comprehensive benefits packages (details vary by country), life leave days and more.

Financial Benefits: It’s not all about the money – well, it’s a little about the money. We understand that financial health is important and we offer a competitive base salary, a corporate bonus program, retirement savings options and more.

Life at Assent: There is purpose beyond your work. We provide our team members with flexible work options, volunteer days and opportunities to get involved in corporate giving initiatives.

Lifelong Learning: At Assent, curiosity is not only valued but encouraged. You will receive professional development days that are available to you the day you start.

At Assent, we are committed to growing and sustaining an environment where our team members feel included, valued, and heard. Our diversity and equal opportunity practices are guided and championed by our Diversity and Inclusion Working Group and our Employee Resource Groups (ERGs).

Our commitment to diversity, equity and inclusion includes recruiting and retaining team members from diverse backgrounds and experiences, and fostering a culture of belonging where all team members are included, treated with dignity and respect, promoted on their merits, and placed in positions to contribute to business success.

If you require assistance or accommodation throughout any part of the interview and selection process, please contact [email protected] and we will be happy to help.