Senior Machine Learning Engineer

$156,774 - $198,273/Yr

Altice USA - Long Island City, NY

Full-time - Mid Level

Long Island City, NY

Telecommunications

About the position

As a Senior Machine Learning Engineer at Altice USA, you will play a pivotal role in deploying end-to-end solutions to complex business problems by leveraging artificial intelligence (AI) and machine learning (ML) principles. Your primary responsibility will be to consult with stakeholders to gather business requirements and translate them into actionable data solutions. You will design high-level model structures and demonstrate deep expertise in advanced analytics techniques to prototype and build effective solutions that address specific business challenges. In this role, you will lead communication with various stakeholders to drive the development of use cases, manage expectations regarding model limitations, and oversee the entire project lifecycle from inception to completion. This includes data collection and manipulation, analysis and modeling, and the communication of insights and recommendations. You will also be responsible for the productionalization of final model products, ensuring that they are effectively integrated into the business processes. Your work will involve analyzing data to identify useful relationships, patterns, and features that predict user behaviors and preferences. You will also monitor industry trends and emerging technologies to identify opportunities for innovation and improvement. Additionally, you will develop and maintain end-to-end modeling code, standardizing it for reusability in the production environment. Profiling users and conducting customer segmentation will be essential to assist the marketing team in targeting specific audiences for service upgrades and user retention strategies.

Responsibilities

• Consult with stakeholders to gather business requirements and translate them into data solutions.
• Design high-level model structures and demonstrate expertise in advanced analytics techniques (e.g., AI and ML).
• Lead communication with stakeholders to drive use case development and manage expectations on model limitations and lead times.
• Analyze data to identify useful relations, patterns, and features predictive of user behaviors and preferences.
• Manage and execute entire projects from start to finish, including cross-functional project management.
• Collect and manipulate data, perform analysis and modeling, and communicate insights and recommendations.
• Productionalize final model products and share findings with stakeholders to improve business decisions.
• Monitor and stay updated with industry trends and emerging technologies for innovation opportunities.
• Develop and maintain end-to-end modeling code and standardize it for reusability in production.
• Profile users and conduct customer segmentation to assist marketing in targeting specific audiences.

Requirements

• Degree in a quantitative discipline such as Data Science, Applied Mathematics, Statistics, Economics, Operations Research, Computer Science, Mathematics, Physics, Biology, Chemistry, or Engineering.
• 3-5 years of work experience in classification, regression, clustering, natural language processing (NLP), experiments, and optimization.
• Ability to apply Bayesian inference, frequentist statistics, causal modeling, and/or machine learning techniques.
• Experience with customer segmentation, campaign targeting, A/B experiments, sales forecasting, churn propensity modeling, and other related areas.
• Highly skilled in R and Python for statistical and machine learning programming.
• Proficient in SQL and Python coding to wrangle and explore structured and unstructured data.
• Proficient with server or cloud computing platforms such as Google Compute Engine or EC2.
• Proficient with data warehouses such as Oracle, Big Query, or AWS.

Nice-to-haves

• An advanced degree, Data Science bootcamp, or MOOC certification is a plus.
• Experience as a subject matter scientist reviewing literature to identify state-of-the-art solutions.

Benefits

• Competitive salary based on skills and experience.
• Equal Opportunity Employer committed to diversity and inclusion.
• Drug-free and smoke-free workplace.