Samsung India
Location
Bangalore | India
Job description
Job Description
1. Conduct in-depth analysis of large datasets to identify customer behavior patterns and insights, utilizing advanced statistical modelling techniques and machine learning algorithms.
2. Collaborate with cross-functional teams to define key business questions and develop data-driven solutions that align with the goals of the affordability platform.
3. Identify relevant data points and sources to gather the necessary information for analysis, ensuring data accuracy and completeness.
4. Develop predictive models to forecast customer behaviors and preferences, such as new purchase, repeat purchase, cross-selling, and upselling opportunities.
5. Monitor performance indicators of the affordability platform, identify potential areas for improvement, and recommend data-driven strategies to optimize sales and business growth.
6. Present findings and insights to key stakeholders in a clear and concise manner, using data visualization techniques to facilitate decision-making processes.
7. Stay up-to-date with industry trends and advancements in data science, continuously expanding knowledge and skills to enhance the effectiveness of the affordability platform.
8. [Data planning] Define data analysis target that meets the business strategy and carry out roadmap.
9. [Data analysis] Define and specify data analysis target and carry out modeling/verification/test/application.
10. [Data-based decision making] Research and carry out the insight to support decision making in the areas of business direction/market strategy/product strategy.
11. [Verification of decision effects] Develop methods to verify the effect of decision on business (A/B Test, Simulator).
12. [Algorithms assetization] I implement, evaluate and verify algorithms for data analysis.
Additional Job Description
- Proven experience in data analysis, statistical modelling, and machine learning, preferably in a offline retail or e-commerce setting.
- Proficiency in programming languages such as Python or R, with experience in utilizing data analysis and modelling libraries (e.g., pandas, scikit-learn, TensorFlow).
- Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable insights.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) to present findings and facilitate data-driven decision-making.
- Knowledge of SQL and database management systems for data extraction and manipulation.
- Excellent communication skills, with the ability to effectively convey complex findings to both technical and non-technical stakeholders.
- Strong attention to detail and a commitment to delivering high-quality work in a fast-paced environment.
- Ability to work collaboratively in a team setting and manage multiple projects simultaneously.
- Prior experience in analysing customer behaviour data or working with affordability platforms is a plus.
- Has a wide range of experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways
- Works on complex issues where analyzing situations or data requires an in-depth evaluation of variables. Exercises judgement in selecting methods, techniques and evaluation criteria to obtain results. Determines methods and procedures on new assignments and coordinates other's tasks
- May manage a group such as coordinating activities regarding costs, methods and staffing
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Typically requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 year
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