Engagement

1 month ago


Bengaluru, India Capillary Technologies Full time

Job Title: Senior Data Scientist

**Job Description**:
**Responsibilities**:

- Lead the development and implementation of data-driven solutions for clients
- Collaborate with clients to understand their business needs and develop solutions to meet those needs
- Develop statistical models and algorithms to analyze complex data sets
- Analyze and interpret data to identify patterns and trends
- Communicate insights and findings to clients in a clear and concise manner
- Mentor and train junior data scientists on technical and client presentation skills
- Stay up-to-date with the latest industry trends and technologies in data science and analytics

Qualifications:

- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
- 3+ years of experience in data science or analytics
- Strong programming skills in Python and SQL
- Experience with data visualization tools such as Tableau or PowerBI or QlikView would be an added benefit
- Experience with SQL and relational databases
- Strong client presentation and communication skills
- Ability to lead a team and work collaboratively with other departments
- Strong problem-solving skills and attention to detail

**Job Requirement**

2 Machine learning: A senior data scientist should have a strong background in machine learning techniques and be able to develop and deploy predictive models.

3 Data wrangling: A senior data scientist should have expertise in collecting, cleaning, and organizing large and complex data sets.

4 Programming skills: A senior data scientist should be proficient in programming languages such as Python, R, and SQL and be able to develop scalable and maintainable code.

5 Data visualization: A senior data scientist should be able to create compelling visualizations and reports that effectively communicate insights to stakeholders.

6 Business acumen: A senior data scientist should have a strong understanding of business operations and be able to develop data-driven solutions that align with organizational goals.

7 Communication skills: A senior data scientist should be able to communicate complex technical concepts to both technical and non-technical audiences.

8 Leadership skills: A senior data scientist should be able to lead a team of data scientists and work collaboratively with other departments to develop and implement data-driven solutions.

9 Project management: A senior data scientist should be able to manage complex data projects from start to finish, including scoping, planning, execution, and delivery.

10 Continuous learning: A senior data scientist should have a passion for continuous learning and be able to stay up-to-date with the latest advancements in data science and analytics.


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