Senior Associate Data Science

We are seeking a highly skilled senior data scientist to join our team. The ideal candidate will possess both technical and client presentation skills, and will be responsible for leading complex data projects and communicating insights to clients.

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

If you possess these qualifications and are interested in a challenging and rewarding career in data science, we encourage you to apply for this position. We offer competitive compensation and benefits packages, as well as opportunities for career advancement and professional development.

Job Requirement

- Advanced statistical analysis: A senior data scientist should have a deep understanding of statistical concepts and techniques and be able to apply them to real-world problems.

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

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

- 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.

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

- 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.

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

- 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.

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

- 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.