Engagement - Bengaluru, India - Capillary Technologies

Capillary Technologies

Verified Company

Bengaluru, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Job Title:
Senior Data Scientist

Job Description:

Responsibilities:

Lead the development and implementation of datadriven 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 uptodate 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 problemsolving 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.