Data Scientist

If you are passionate about solving complex challenges and driving innovation lets talk!??

Our organization is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.?

What were looking for?

• Education: Education: bachelors or masters degree in data science, Computer Science, Statistics, Mathematics, or a related field.
• Experience: 3+ years of experience in data science, machine learning, or a related role.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and libraries.
• Strong understanding of statistical analysis and modeling techniques.
• Familiarity with data visualization tools.
• Analytical Skills: Strong problem-solving abilities and attention to detail.
• Communication Skills: Outstanding communication skills, capable of explaining complex analytical concepts to non-expert stakeholders.
• Teamwork: Proven ability to work collaboratively in a dynamic, cross-functional team

Data Analysis:

• Lead the sourcing and management of datasets, ensuring data quality and integrity.
• Conduct high-level exploratory and predictive analysis to identify key trends and opportunities.
• Design, develop, and maintain robust data pipelines and ETL processes tailored for scalability and repeat use.

Machine Learning and Statistical Modeling:

• Develop sophisticated predictive and prescriptive models using machine learning and statistical techniques.
• Continuously evaluate and refine models based on performance metrics and business impact.
• Implement advanced modeling techniques for complex problems including time series forecasting and optimization algorithms.

Collaboration and Communication:

• Engage with business stakeholders to define and refine analytics objectives.
• Translate technical findings into actionable business initiatives and effectively communicate them through compelling presentations and interactive dashboards.
• Foster a collaborative culture that encourages innovation in analytics methodologies and tools.

Tool and Technology Utilization:

• Expertise in Python, R, SQL, and familiarity with Scala or Java is a plus.
• Utilize and adapt to various frameworks such as TensorFlow, PyTorch, and Scikit-learn for specific project needs.
• Advanced proficiency in visualization tools like Tableau and Power BI to drive the creation of impactful visual insights.

Continuous Improvement:

• Stay at the forefront of data science technology and trends to continually bring innovative solutions into the business.
• Lead and mentor junior data scientists and analysts within the team.
• Drive initiatives to refine and enhance analytical workflows and processes.