
Senior Analytics Strategist
7 hours ago
As a Lead Data Scientist, you will play a key role in helping Fortune 1000 companies solve their toughest challenges using AI and analytics.
You will be part of a global team of technologists and consultants who work closely with clients across various industries.
Your work will involve leading the development of sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.
You will need to demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code.
You will use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.
Furthermore, you will work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.
To succeed in this role, you will need to have 6-10 years of total DS experience, a passion for writing high-quality code, good problem-solving skills, and comprehensive knowledge of regression and classification concepts.
This is an exciting opportunity to join a Great Place to Work-Certified company that values innovation and excellence.
Our company offers competitive compensation packages, health insurance, virtual wellness platforms, and knowledge communities.
Responsibilities:- Lead the development of sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.
- Demonstrate proficiency 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, analyse 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 to integrate analytics solutions into business processes.
- Develop advanced data science models guided by profound understanding of mathematical and statistical principles.
We are an equal opportunity employer and encourage collaboration with various stakeholders. Our diverse and inclusive culture guides us to listen, trust, respect, and encourage people to grow.
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