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About the Role

Machine Learning Engineers deploy end-to-end solutions to business problems leveraging AI and/or ML principles. MLEs will take requests from stakeholders, define project components, gather data for EDA and training, develop production plans, and implement solutions into production.

Responsibilities

• Consult with stakeholders to gather business requirements, translate them into data solutions, design high-level model structures, and demonstrate expertise in advanced analytics techniques (e.g., AI and ML) to design, prototype, and build solutions.
• Lead communication with other 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, preferences, and intents.
• Manage and execute entire projects from start to finish, including cross-functional project management, data collection and manipulation, analysis and modeling, communication of insights and recommendations, and productionalization of final model products.
• Share findings with stakeholders to improve business decisions and/or influence strategic direction.
• Monitor and stay updated with industry trends and emerging technologies to identify opportunities for innovation and improvement.
• Develop and maintain end-to-end modeling code and standardize code for reusability in the production environment.
• Profile users, including customer segmentation, to help the marketing team target specific audiences for upgrades and user retention.

Requirements

• Degree in a quantitative discipline, such as Data Science, Applied Mathematics, Statistics, Economics, Operations Research, Computer Science, Mathematics, Physics, Biology, Chemistry or Engineering.
• An advanced degree, Data Science bootcamp or MOOC certification is a plus.
• 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 and effectiveness, A/B experiments, quasi-experiments, sales forecasting, churn propensity modeling, customer lifetime value analysis, credit risk, geospatial analytics, survey key-drivers, marketing mix modeling, multi-touch attribution, or recommender systems.
• Highly skilled in R and Python for statistical and machine learning programming.
• Highly skilled in SQL & Python coding to wrangle and explore structured & 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.
• Subject matter scientist that can review the literature to identify state-of-the-art solutions to a business problem.

Skills

• Classification
• Regression
• Clustering
• Natural Language Processing (NLP)
• Experiments
• Optimization
• Bayesian inference
• Frequentist statistics
• Causal modeling
• Machine learning
• Customer segmentation
• Campaign targeting and effectiveness
• A/B experiments
• Quasi-experiments
• Sales forecasting
• Churn propensity modeling
• Customer lifetime value analysis
• Credit risk
• Geospatial analytics
• Survey key-drivers
• Marketing mix modeling
• Multi-touch attribution
• Recommender systems
• R programming
• Python programming
• SQL coding
• Cloud computing platforms (Google Compute Engine, EC2)
• Data warehouses (Oracle, Big Query, AWS)

Location

• New York

Work Type

• Full-time

Experience Level

• 3-5 years

Education Level

• Degree in a quantitative discipline
• Advanced degree, Data Science bootcamp or MOOC certification is a plus

Salary/Compensations

• $156,744.00 - $198,273.00 / year

About the Company

• Optimum is a leader in the fast-paced world of connectivity, empowering lives, fueling businesses, and driving innovation.
• Connectivity is no longer a luxury, but a necessity.
• A career at Optimum means enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected.
• Our successes are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities.
• At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What’s Right, Drive One Optimum, and Make It Happen.
• These principles help us build trust, create real community, and embrace new ways of thinking.
• Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors.
• It’s all part of the bigger picture of “Be The Difference” where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stops.

Equal Opportunity

• We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law.
• The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law.
• Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process.