Inizio Partners
About the job Data Scientist
Job Title: Senior Data Scientist
Location: Hybrid - NYC
Requirements:
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:
* Bachelors or Masters 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, stats models).
* 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.
Job Title: Senior Data Scientist
Location: Hybrid - NYC
Requirements:
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:
* Bachelors or Masters 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, stats models).
* 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.