Role overview
**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