As a Data Scientist at Xplore, you will play a key role in developing and deploying data-driven solutions that support business growth, customer retention, and operational efficiency. You will work on impactful projects such as churn prediction, upsell targeting, and network optimization, applying advanced analytics and machine learning techniques to solve real-world problems.
This role is ideal for someone who is passionate about turning data into actionable insights, enjoys hands-on modeling, and wants to grow their expertise in a collaborative environment.
Key responsibilities include:- Develop and implement predictive and prescriptive models like:
- Customer churn and retention strategies
- Upsell and cross-sell opportunity scoring
- Product coverage estimation and optimization
- Perform feature engineering, model training, validation, performance tuning, and deployment using advanced ML techniques
- Collaborate with cross-functional teams (marketing, sales, operations, care, product) to translate business requirements into data science solutions
- Support model deployment and monitoring in production environments
- Conduct exploratory data analysis and provide insights to inform business decisions
- Document methodologies and ensure reproducibility of work
- Stay current with emerging tools and techniques in machine learning and analytics
The ideal candidate will possess:- 3-5+ years of experience in applied data science or machine learning
- Hands-on experience with predictive modeling, time-series forecasting, and statistical analysis
- Proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
- Extensive experience with SQL and data manipulation in large datasets
- Experience with cloud platforms and distributed computing
- Strong problem-solving and analytical skills
- Ability to communicate technical concepts to non-technical stakeholders
- Familiarity with A/B testing and experimentation frameworks is a plus
- Experience with end-to-end project ownership including deployment is an asset
- Bachelor's or Master's in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering)
Condition of Employment:As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.
