Lead Data Scientist- Omnichannel
Company: Tiger Analytics Inc.
Location: New York City
Posted on: February 15, 2026
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Job Description:
Job Description Job Description Tiger Analytics is looking for
experienced Data Scientists to join our fast-growing advanced
analytics consulting firm. Our consultants bring deep expertise in
Data Science, Machine Learning and AI. We are the trusted analytics
partner for multiple Fortune 500 companies, enabling them to
generate business value from data. Our business value and
leadership has been recognized by various market research firms,
including Forrester and Gartner. 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 Requirements 8 years of relevant Data
Science experience with a deep focus on US Pharmaceutical
Marketing. Campaign Optimization: Proven track record in optimizing
non-personalized, multichannel, and Omnichannel (HCP/Patient)
marketing strategies. Journey Analytics: Deep understanding of
Patient Customer Journey mapping, media performance attribution,
and behavioral segmentation. Advanced Analytics: Expertise in
foundational ML (Regression, Classification, Optimization) with a
nuanced understanding of statistical assumptions and limitations.
Production-Grade Code: Proficiency in writing modular, scalable,
and bug-free Python. The Data Stack: High proficiency in SQL and
experience navigating Big Data environments (Spark, Hive, or
Hadoop). MLOps Cloud: Hands-on experience with version control
(Git), containerization (Docker), and cloud ecosystems (AWS, Azure,
or GCP) Stakeholder Influence: Ability to lead high-stakes
analytics engagements and translate complex data findings into
"so-what" insights for senior leadership. Communication:
Exceptional presentation skills, capable of driving strategic
conversations and building consensus across diverse organizational
teams. Growth Mindset: A proactive hunger to learn emerging
technologies and adapt to the evolving healthcare data landscape.
Benefits This position offers an excellent opportunity for
significant career development in a fast-growing and challenging
entrepreneurial environment with a high degree of individual
responsibility. Tiger Analytics provides equal employment
opportunities to applicants and employees without regard to race,
color, religion, age, sex, sexual orientation, gender
identity/expression, pregnancy, national origin, ancestry, marital
status, protected veteran status, disability status, or any other
basis as protected by federal, state, or local law.
Keywords: Tiger Analytics Inc., New Haven , Lead Data Scientist- Omnichannel, IT / Software / Systems , New York City, Connecticut
