Data Scientist - R/SQL/Python (3-7 yrs)

This role is for one of the Weekday's clients.

Key Responsibilities :

- Design and implement complex models and algorithms that drive business decisions.

- Collect, clean, and preprocess data from various sources to ensure accuracy.

- Conduct exploratory data analysis to discover patterns and trends.

- Develop predictive models to forecast future outcomes based on historical data.

- Visualize data using tools like Tableau or matplotlib for stakeholder presentations.

- Collaborate with IT teams to optimize data architecture and processes.

- Translate technical findings into comprehensible reports for non-technical stakeholders.

- Stay updated on emerging trends in data science and analytics technologies.

- Mentor junior data analysts and promote best practices within the team.

- Conduct A/B testing and interpret results to drive product development.

- Work closely with marketing and product teams to inform strategy with data-driven insights.

- Participate in the development of data strategies to improve analytical capabilities.

- Provide ongoing support and maintenance for existing models and analytical tools.

- Challenge existing processes and recommend improvements based on analytical findings.

- Document methodologies and processes for reproducibility and transparency.

Required Qualifications :

- Master's degree in Data Science, Statistics, Computer Science, or related fields.

- Minimum 3 years of experience in a data analysis or data science role.

- Proficiency in programming languages such as Python or R.

- Strong experience with SQL and relational databases.

- Familiarity with big data technologies like Hadoop or Spark.

- Experience with data visualization tools such as Tableau, Power BI, or similar.

- Solid understanding of statistical concepts and modeling techniques.

- Hands-on experience with machine learning frameworks (i.e., TensorFlow, Scikit-Learn).

- Ability to communicate complex findings clearly to a non-technical audience.

- Strong problem-solving skills and analytical thinking.

- Experience working with unstructured data and data streams.

- Keen attention to detail and commitment to quality output.

- Knowledge of data governance and best practices in data management.

- Ability to work collaboratively in a team-oriented environment.

- Certification in data science or analytics is a plus.