Data Scientist at Inizio Partners Corp New York, NY

Inizio Partners Corp; New York (NY); Sur place; USD 100 000 - 130 000; Plein temps

Résumé du poste

Inizio Partners Corp is looking for a Senior Data Scientist in New York, NY. This hybrid role focuses on supporting advanced analytics initiatives in the Sports & Media domain. Candidates should have experience in developing predictive models and extracting insights from large datasets. The ideal candidate will possess 3-8 years of experience in data science, proficiency in Python and SQL, and strong communication skills. Collaboration with various teams to translate findings into business strategies is a key aspect of the job.

Qualifications

• 3-8 years of experience in data science or advanced analytics, with at least 2-3 years in the media or entertainment domain.
• Proven ability to build and implement models for customer behavior, retention, or marketing optimization.
• Strong storytelling and communication skills with experience presenting to business stakeholders.

Responsabilités

• Develop and deploy advanced statistical and machine learning models for various use cases.
• Translate business challenges into analytical frameworks and deliver impactful insights.
• Collaborate with stakeholders to deliver actionable solutions.

Connaissances

Python

SQL

Machine Learning

Statistical Analysis

Communication

Formation

Bachelor's or Master's degree in Statistics, Computer Science, Economics, or a related quantitative field

Outils

AWS

GCP

Azure

scikit-learn

XGBoost

statsmodels

Description du poste

Data Scientist job at Inizio Partners Corp. New York, NY.

Job Title: Senior Data Scientist

Location: Hybrid - NYC

Position Summary

Our client is seeking an experienced and driven Senior Data Scientist to support advanced analytics initiatives for our global clients in the Sports & Media domain. This role focuses on developing predictive models, extracting insights from large‑scale datasets, and translating analytical findings into actionable business strategies. The ideal candidate brings deep media industry expertise, hands‑on modeling experience, and a strong ability to communicate results to both technical and business stakeholders.

Responsibilities

• Develop and deploy advanced statistical and machine learning models across use cases such as churn prediction, audience segmentation, content recommendation, and customer lifetime value.
• Translate business challenges into analytical frameworks and deliver high‑impact insights that influence strategy and operations.
• Analyze large, complex datasets using Python, SQL, PySpark and statistical tools to derive meaningful patterns and trends.
• Collaborate with stakeholders across marketing, product, and data teams to understand needs and deliver actionable solutions.
• Build dashboards and visualizations to communicate insights clearly to cross‑functional and senior leadership teams.
• Stay current with the latest media analytics trends and techniques, continuously improving analytical approaches.
• Mentor junior analysts and contribute to best practices in model development, validation, and deployment.

Required Qualifications

• Bachelor's or Master's degree in Statistics, Computer Science, Economics, or a related quantitative field.
• 3-8 years of experience in data science or advanced analytics, with at least 2-3 years in the media or entertainment domain.
• Proven ability to build and implement models for customer behavior, retention, personalization, or marketing optimization.
• Proficiency in Python, SQL, and statistical/ML libraries (e.g., scikit‑learn, XGBoost, statsmodels).
• Strong storytelling and communication skills with experience presenting to business stakeholders.
• Ability to independently manage analytics projects and collaborate across technical and business teams.

Preferred Qualifications

• Experience deploying models on cloud platforms such as AWS, GCP, or Azure.
• Deep understanding of media domain metrics, user behavior, and content performance drivers.
• Exposure to Generative AI applications and large‑scale personalization in media use cases.
• Proven ability to collaborate with global stakeholders in cross‑functional, matrixed environments.
• Familiarity with productionizing models and working closely with MLOps or engineering teams.