This position is posted by Jobgether on behalf of a partner company. We are currently looking for a
Sales Data Scientist in
India.
In this role, you will be responsible for leveraging advanced data science techniques to deliver actionable insights that drive sales, marketing, and customer success initiatives. You will work closely with cross-functional Go-To-Market teams to translate business needs into robust analytical solutions and predictive models. Your expertise will help optimize sales strategies, enhance customer experience, and improve decision-making across the organization. The role requires collaboration with internal data providers, business stakeholders, and analytics teams to ensure high-quality data and impactful outcomes. This position offers a dynamic, fast-paced environment with opportunities to shape data-driven strategies and contribute to measurable business growth.
Accountabilities
- Apply statistical analysis and machine learning techniques to large datasets to extract actionable insights supporting sales, marketing, and customer success initiatives.
- Collect, clean, and transform data from multiple sources to ensure accuracy, consistency, and usability.
- Develop, evaluate, and deploy predictive models to forecast trends and support strategic decision-making.
- Collaborate with internal GTM teams to define data requirements, success metrics, and integrate analytical solutions into existing processes.
- Communicate insights effectively to technical and non-technical stakeholders through reports, dashboards, and presentations.
- Continuously improve analytical methods, tools, and workflows to enhance efficiency and impact.
Requirements
- Bachelor's degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or related discipline; Master's or Ph.D. preferred.
- Minimum of 5 years of professional experience in data science, with hands-on experience in statistical analysis, predictive modeling, and machine learning.
- Proficiency in Python, R, or similar tools, including libraries for data manipulation (e.g., Pandas, NumPy) and machine learning (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical concepts, including regression, classification, clustering, and time series analysis.
- Experience with data visualization tools such as Tableau or Power BI to convey insights effectively.
- Excellent analytical, problem-solving, and critical thinking skills, with keen attention to detail.
- Proven ability to work independently and collaboratively in a global, cross-functional environment, with strong communication and interpersonal skills.
Benefits
- Fully remote role with flexible work arrangements.
- Opportunity to work on high-impact GTM initiatives and influence strategic business decisions.
- Exposure to advanced analytics, AI-driven models, and data science best practices.
- Collaboration with a global, cross-functional team of professionals.
- Competitive market-aligned salary and benefits package.
- Career growth opportunities and professional development support.
Why Apply Through Jobgether
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
