Senior Data Scientist

Job requirements Experience Range: 5 - 8 years of experience, including at least 5 years of hands-on work in data science, analytics, or related fields, with recent exposure to agentic AI solutions Key Responsibilities:

- Translate complex business challenges into structured data science problems, ensuring alignment with organizational objectives and measurable outcomes

- Develop, monitor, and validate OKRs using advanced statistical techniques to deliver actionable insights and track progress

- Execute advanced data wrangling, cleansing, and transformation on large, complex datasets to enable robust modeling and analysis

- Deliver impactful data-driven insights through clear data storytelling, utilizing visualization tools to communicate findings effectively to stakeholders

- Apply design thinking methodologies to create innovative analytical solutions and continuously optimize data science workflows and processes

- Lead technical decision-making for modeling iterations, optimizing model performance, and balancing computational efficiency with business requirements

- Collaborate with cross-functional teams, including engineering and product, to implement scalable data science solutions that drive business value

- Promote data literacy and foster a culture of data-driven decision-making by sharing best practices and industry trends across the organization

- Advanced proficiency in Python or R for data wrangling, preprocessing, and statistical analysis

- Expertise in statistical modeling and validation of performance metrics

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

- Hands-on experience with machine learning algorithms and evaluation metrics

- Strong background in feature engineering and data mining

- Familiarity with big data technologies such as Spark or Hadoop

- Experience with cloud-based data platforms including AWS, Azure, or Google Cloud

- Knowledge of MLOps practices and deployment pipelines