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Transforming complex data into actionable insights that drive strategic decisions.

Requirements

• Proficiency in programming languages such as Python or R.
• Strong knowledge of SQL and experience with relational databases.
• Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, XGBoost).
• Solid understanding of statistical methods and data modeling techniques.
• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with big data tools (e.g., Spark, Hadoop).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, Looker).

Responsibilities

• Collect, clean, and analyze large datasets from various sources to derive business insights.
• Build and deploy predictive models and machine learning algorithms to solve business challenges.
• Develop dashboards and reports to visualize and communicate results to technical and non-technical stakeholders.
• Collaborate with product, engineering, and business teams to identify opportunities for leveraging data to drive product and business solutions.
• Design experiments and analyze results to validate hypotheses and measure impact.
• Stay current with the latest research, tools, and techniques in data science and machine learning.

Other

• Proven experience (typically 2–5 years) as a Data Scientist or similar role.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to explain complex data findings in simple terms.
• Experience working in agile or cross-functional teams.
• This is a remote position