
Chief Analytics Strategist
4 days ago
As a key member of our organization, you will play a crucial role in developing sophisticated machine learning models, predictive analytics, and statistical analyses to drive business growth.
- Lead and contribute to the development of advanced data science models, predictive analytics, and statistical analyses to drive business growth.
- Demonstrate expertise in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code.
- Use your robust problem-solving skills to develop data-driven solutions, analyze complex datasets, and derive actionable insights that lead to impactful outcomes.
- Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.
- Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.
- Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.
- Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement.
Requirements:
- 6-10 years of total DS and model development experience.
- A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role.
- Good problem-solving skills are essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.
- Comprehensive knowledge of regression and classification concepts and mathematical backend along with SQL.
- Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems.
- Encourage collaboration with various stakeholders and take complete ownership of deliverables.
- Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.
- Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations.
- Effective mentoring of a team with expertise in industry/domain/functional areas.
We offer excellent benefits, and opportunities for professional growth and development. If you are passionate about data science and want to make a meaningful impact, please submit your application today
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