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Sr Machine Learning EngineerOptimum Communications Corp • United States
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Sr Machine Learning Engineer

Optimum Communications Corp
  • US
    United States
  • US
    United States
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À propos

Are you looking to Optimize your life? Start your exciting path to a rewarding career today!
We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities.
If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you!
Job Summary Machine Learning Engineers work to deploy end-to-end solutions to business problems leveraging AI and/or ML principles as needed to create those solutions. MLEs will take requests from stakeholders, define the components required for the project, gather data necessary for project EDA and training, then work with stakeholders to develop a plan around the productionized use of the solution, and work to put that solution into final production.
Responsibilities
Consult with stakeholders to gather business requirements, translate them into data solutions, design high-level model structures and demonstrate deep expertise in advanced analytics techniques (e.g., AI and ML) to design, prototype, and build solutions to business problems 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 that are predictive of user behaviors, preferences, intents, interests 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; 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 Developing and maintaining the end to end modeling code and standardizing the code for reusability in the production environment. Profiling users including customer segmentation to help the marketing team to target specific audience for upgrading to services and also for the user retention
Qualifications
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 any of these: 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.
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 aren't just words, they 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 when we see them. 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 stop. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. 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. Please review our Fraud FAQ for further details.
Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in New York is $156,774.00 - $198,273.00 / year. The starting pay rate/range at time of hire for this position in Plano, Texas is $130,645.00 - $165,228.00 / year. For other locations, please inquire with your recruiter. The rates/ranges provided herein are the anticipated pay at the time of hire, and do not reflect future job opportunity.
  • United States

Compétences linguistiques

  • English
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