Lead Data Scientist- Omnichannel
Job in
New York City, Richmond County, New York, USA
Listed on 2026-01-29
Listing for:
Tiger Analytics
Full Time
position Listed on 2026-01-29
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
As a Lead Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management, and leadership. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools.
You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Key Responsibilities
* As a Lead Data Scientist, your role will involve Analytical Translation:
Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.
* Problem Solving:
While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.
* Client Engagement:
Establish a deep understanding of clients; business contexts, working closely to unravel intricate challenges and opportunities.
* Algorithmic Expertise:
Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.
* Quantitative Mastery:
Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.
* Cross-Functional Collaboration:
Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life
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