Senior Machine Learning Engineer

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 on the hunt for enthusiastic professionals to join our team! We understand that connectivity isn't just a luxury anymore - it's a necessity that empowers lives, fuels businesses, and drives innovation. 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. We owe our success to our amazing product, commitment to our people and the connections we make in every community.
If you are resourceful, collaborative, team-oriented and passionate about delivering consistent excellence, Optimum is the Company for you!
We are Optimum!
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, we're fueled by our four core pillars: Taking Ownership, Upholding Transparency, Creating Community, and Demonstrating Expertise. Our commitment to empowering employees to take responsibility and embrace proactive problem-solving underpins Taking Ownership. Upholding Transparency is at the core of our culture, with open and honest communication fostering trust among our dedicated team and loyal customers. Creating Community is more than a goal; it's our daily commitment to fostering an environment of collaboration, innovation, and positivity. Demonstrating expertise is a promise we uphold through continuous learning and engagement with our customers to consistently deliver top-quality products and services. These pillars not only shape our culture but define Optimum as a place of excellence, trustworthiness, and thriving community, and we invite you to be a part of our journey.
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, so 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.
This position is identified as being performed in/or reporting to company operations in New York State. Salary ranges are supplied in compliance with New York State law. 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 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.
Nearest Major Market: Brooklyn
Nearest Secondary Market: New York City