Data Scientist - Revenue Operations
Data Scientist - Revenue Operations
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Job Description
Uncover insights that shape smarter sustainable growth
At Assent were on a mission to help the worlds 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.
Were seeking a mid-career Data Scientist to join our Revenue Analytics team working closely with global peersincluding the Director of Revenue Analytics Analytics Engineers Business Analysts and broader global Revenue Operations team membersto 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 youll 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 :
36 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.
- Bachelors or Masters 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 familys 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: Its not all about the money well its 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 and we will be happy to help.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
