Data Scientist - R/SQL/Python (4-7 yrs)

We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have strong analytical skills, a deep understanding of statistical and machine learning techniques, and experience working with large datasets. You will collaborate with cross-functional teams to develop insights and drive data-driven decision-making.

Key Responsibilities

Data Analysis and Modeling :

- Collect, clean, and preprocess structured and unstructured data from various sources.

- Develop, implement, and evaluate machine learning models and algorithms to solve complex business problems.

Business Insights and Reporting :

- Analyze data to uncover patterns, trends, and insights that drive business strategies.

- Build dashboards, visualizations, and reports to communicate findings effectively.

Collaboration and Communication :

- Work closely with product managers, engineers, and stakeholders to understand business objectives and translate them into data science solutions.

- Present technical findings in a clear, actionable manner to non-technical audiences.

Research and Development :

- Stay updated with the latest advancements in data science, machine learning, and artificial intelligence.

- Experiment with new techniques and tools to improve current processes and outcomes.

Data Governance :

- Ensure data quality, security, and compliance with organizational and legal standards.

Required Skills and Qualifications :

- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- Strong programming skills in SQL, Python, R, or a similar language.

- Knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib.

- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.

- Excellent problem-solving, communication, and teamwork skills.

Preferred Qualifications :

- Experience in big data technologies like Hadoop, Spark, or Kafka.

- Knowledge of natural language processing (NLP), computer vision, or deep learning.

- Experience in A/B testing, causal inference, or experimental design.