
NERA Economic Consulting
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about 20 hours ago

Company:
MMC CorporateDescription:
We are seeking a highly skilled and motivated Lead AI/ML Data Scientist to join our advanced analytics team. This position will play a pivotal role in developing next-generation analytics solutions for our Financial Planning & Analysis (FP&A) team.
We will count on you to:
- Stakeholder Engagement: Collaborate closely with FP&A stakeholders to understand their strategic vision and analytics needs, translating these concepts into actionable projects.
- Project Conceptualization and Execution: Develop and execute a roadmap for analytics initiatives that align with FP&As long-term goals while ensuring timely delivery of short-term projects.
- Advanced Capability Development: Lead the design and implementation of advanced machine learning models and algorithms that provide insights into financial performance, forecasting, and decision-making.
- Team Leadership: Manage and mentor a team of data scientists and analysts, fostering a culture of innovation, collaboration, and continuous learning.
- Cross-Functional Collaboration: Work closely with finance, IT, and other departments to ensure that analytics solutions are developed with a comprehensive understanding of business needs and technical requirements.
What you need to have:
- Education: Minium Master’s Degree in Computer Science, Data Science, or a related field.
- Experience: Minimum of 7 years of experience in AI/ML and data science, with a proven track record of developing and implementing machine learning models in a corporate environment. Experience in the finance industry is a plus.
- Technical Skills: High Proficiency in Python, strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, MLFlow); experience in AI Framework (Langchain, Tensors and Vectors), experience with database and data structures (Vector DB, Mongo, Postgres, Grapgh, NetworkX), data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g., Databricks, PySpark).
- Experience developing in public cloud (AWS, Azure) and knowledge of Docker Containers.
- Leadership Skills: Demonstrated experience in leading at least a 3-5 person team, with experience in mentoring and developing talent.
What makes you stand out:
- PhD in Computer Science, Data Science, or a related field from a top-tier U.S. university is highly preferred.
- Published Whitepapers and Scientific Journals with citation
- Global Perspective: Experience managing global resources and working in cross-functional teams across different geographies.
- Research and Innovation: A strong interest in staying abreast of industry trends and emerging technologies in AI/ML and data science, applying this knowledge to enhance analytics capabilities.
- Problem-Solving Mindset: Ability to approach complex problems with a research-oriented mindset, leveraging advanced analytical techniques to drive business insights.
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.