Racrosoft Technologies - Senior Data Scientist (5-10 yrs)

Responsibilities:

- Analyze large datasets to identify trends, patterns, and insights that can inform business decisions.

- Explore data using various statistical and visualization techniques.

- Develop and implement statistical models and machine learning algorithms to solve business problems.

- Select appropriate models based on data characteristics and business objectives.

- Evaluate and validate models to ensure accuracy, reliability, and generalizability.

- Refine models based on performance metrics and feedback.

- Communicate complex technical concepts and findings to non-technical audiences in a clear and compelling way.

- Create visualizations and presentations to effectively convey data insights.

- Collaborate effectively with cross-functional teams, including business stakeholders, engineers, and product managers.

- Work closely with others to understand business needs and translate them into data-driven solutions.

- Manage data science projects from inception to completion, ensuring projects are delivered on time and within budget.

- Prioritize tasks and manage timelines effectively.

- Mentor and guide junior data scientists, sharing knowledge and best practices.

- Contribute to the growth and development of the data science team.

- Develop a deep understanding of the business domain and industry trends.

- Identify opportunities to apply data science techniques to solve business challenges and drive innovation.

- Stay up-to-date with the latest advancements in data science, machine learning, and related fields.

- Explore new technologies and techniques to enhance our data science capabilities.

Qualifications:

- 5-10 years of experience in data science or a related role.

- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.

- Experience with data visualization tools (Tableau, Power BI).

- Excellent communication, presentation, and interpersonal skills.

- Ability to translate complex technical concepts into clear and concise business language.

- Strong problem-solving and analytical skills.

- Ability to work independently and as part of a team.