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Senior Quantitative Analyst
1 month ago
About the Role:
We are seeking a highly experienced Senior Quantitative Analyst to lead our data science initiatives as a Data Science Leader at Intelmatix.
This is an exceptional opportunity to join a pioneering deep-tech AI company, leveraging your expertise in data science and technical mastery to spearhead our efforts. You will work closely with executive leadership and cross-functional teams to craft and execute data science strategies that drive business outcomes.
About Intelmatix:
Intelmatix is a leading provider of Decision Intelligence technology, empowering enterprises to transform into cognitive powerhouses. Our mission is to make our technology accessible and straightforward to integrate, facilitating international operations and diverse collaborations with businesses worldwide.
Key Responsibilities:
- Translate Technical Insights: Strong ability to translate technical insights into actionable business strategies, magnifying the impact of data science on business outcomes.
- Advance Data Science Methodologies: Propel advancements in data science methodologies and best practices.
- Deliver Compelling Insights: Deliver compelling insights and strategic recommendations to executive leadership, influencing key decision-making processes.
- Sophisticated Predictive Models: Direct the design and implementation of sophisticated predictive models using Python's ecosystem, including advanced frameworks such as TensorFlow, Keras, and PyTorch.
- Cross-Functional Collaboration: Engage with executive leadership and cross-functional teams to craft and execute data science strategies that bolster business objectives.
- Stay at the Forefront: Stay at the forefront of machine learning and data science trends, promoting a culture of continuous learning and experimentation within the team.
- Mentorship and Project Management: Manage multiple projects and provide mentorship to data scientists and machine learning scientists throughout the company, ensuring the seamless transition of solutions into production.
Required Qualifications:
- Advanced Degree: Advanced degree (PhD or Masters) in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering.
- 7+ Years of Experience: 7+ years of experience in quantitative analytics or data modeling, with a profound expertise in machine learning, predictive modeling, and algorithm development.
- Technical Skills: Strong proficiency in Python and SQL, proficiency in Python and libraries such as Pandas, NumPy, and machine learning tools (Scikit-Learn, TensorFlow, PyTorch).
- Leadership and Communication: Demonstrated leadership capabilities with excellent communication skills and the ability to motivate and inspire a team.
- Technical Skills: Strong technical skills to improve, enhance, monitor and review machine learning models.
Estimated Salary: The estimated salary for this role is around $200,000 - $250,000 per year, depending on location and experience.
Employee Benefits:
- Medical Insurance: Medical insurance for you and your dependents.
- Salary Advance: Salary advance for housing costs.
- Training Support: Role-related training support.
- Children's Allowance: Children's school allowance.
- Relocation Support: Relocation support.
- Travel Tickets: Travel tickets.
- Wellness Programs: Wellness programs.
- Pension Contributions: Pension contributions.
- In-Office Snacks: In-office snacks pantry.