Data Scientist - R/Python (2-4 yrs)

Job Description :

Are you passionate about deep data analysis and finding innovative solutions? We're looking for a skilled Data Scientist to join our team. Your primary focus will be enhancing the productivity and utilization of generated data, transforming scattered information into valuable insights. You'll work closely with business stakeholders, develop predictive models, and drive data-driven decision-making to improve our products and optimize business operations.

- Develop and implement models and run experiments to infer actionable insights from complex data sets.

- Improve product usability by leveraging data, and identify new growth opportunities.

- Understand reseller preferences to ensure the provision of the most relevant products.

- Design effective discount programs aimed at boosting reseller sales.

- Help resellers better recognize end-customer preferences to ultimately improve their revenue.

- Use data analysis to identify bottlenecks that can help suppliers meet their Service Level

Agreement (SLA) requirements.

- Model seasonal demand to accurately predict key organizational metrics.

- Mentor junior data scientists in the team, fostering their growth and skill development.

- Work closely with business stakeholders to understand their needs and challenges.

- Transform disparate pieces of information into cohesive and valuable data assets.

- Share and present your valuable insights clearly and effectively with peers and leadership.

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a similar

quantitative field.

- 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably in a B2C

environment.

- Familiarity with foundational concepts such as Neural Networks and Machine Learning.

- Proficiency with data manipulation and analysis tools like SQL, R, and Python.

- Strong understanding of Statistics and Linear Algebra.

- Solid understanding of hypothesis testing and model validation, with the ability to identify

common model testing errors.

- Experience designing and running A/B tests and effectively drawing actionable insights from

their results.

- Proficiency in various machine learning algorithms and their application.

- Excellent analytical skills to source reliable data and generate accurate insights.

- Experience working within tech and product teams is a plus.

- Experience working on personalization problems or other complex machine learning

challenges.

- Familiarity with Big Data tech stacks such as Apache Spark, Hadoop, or Redshift.