Data Scientist

Job Description:

The Data Scientist will play a pivotal role in transforming business objectives into actionable data-driven insights. This mid-career position demands a proactive individual equipped with strong analytical capabilities, programming proficiency, and a deep understanding of statistical modeling. The successful candidate will leverage large datasets to address complex business challenges, utilizing machine learning algorithms, data mining techniques, and predictive analytics. The candidate will also engage in cross-functional collaborations, presenting findings to stakeholders, and effectively communicating technical concepts to non-technical audiences. Continuous learning and adaptation to emerging technologies will be essential to enhance the organization's data analytics framework.

Job Requirements:

• 3+ years in data science/analytics with large datasets.
• Proficiency in Python/R/SQL; strong statistics and hypothesis testing.
• Hands-on ML (classification/regression/clustering) with models deployed to production and iteratively improved.
• Data visualization for decision-making (Tableau/Power BI/Matplotlib).
• Strong communication skills for non-technical audiences.
• Nice to have: Cloud (AWS/GCP/Azure) and/or Big Data (Hadoop/Spark).

Job Responsibilities:

• Build ML models; run EDA to uncover patterns and anomalies.
• Partner with Product/IT/Business to define analytics objectives.
• Deliver interactive dashboards and KPIs for leadership.
• Improve data capture quality; document methods and results.
• Mentor junior team members; adopt emerging best practices.
• Ensure data privacy/ethics and help evaluate analytics tools.

Required Skills:

• Python/R with pandas, NumPy, scikit-learn.
• SQL, database querying/extraction.
• Deep learning frameworks (TensorFlow/Keras) for advanced use cases.
• Basic project management: prioritization, timelines, deadlines.
• High integrity and confidentiality with sensitive data.