Data Scientist

Summary

We are seeking a highly skilled and motivated Data Scientist to join our team. You will be responsible for transforming complex data into actionable insights that drive strategic decisions. This role requires a blend of statistical analysis, machine learning, and strong communication skills to work cross-functionally with stakeholders across the business.

Duties

• 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.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience (typically 2–5 years) as a Data Scientist or similar role.
• 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.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to explain complex data findings in simple terms.

Nice To Haves

• 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).
• Experience working in agile or cross-functional teams.

Benefits

• Competitive salary and benefits package.
• Flexible working hours and remote-friendly culture.
• Professional development and learning opportunities.
• Collaborative and inclusive team environment.
• Opportunities to work on cutting-edge data problems.

Work Remotely

This is a remote position