Sr Machine Learning Engineer

• 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

• 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.

What We Do

We Make a Difference Because We Are the Difference! At Optimum we’re not just connecting people – we’re transforming how they experience the world. With a footprint spanning 21 states and serving approximately 4.5 million residential and business customers we're building the future of connectivity through innovative services like Optimum Fiber Internet Optimum TV and Optimum Mobile. This connectivity wouldn’t be possible without our tremendous workforce of driven employees who are dedicated to ensuring the best possible experience for all of our customers and co-workers We’re a team of bold thinkers curious leaders and collaborative problem-solvers united by a culture that values inclusion innovation and impact. At Optimum every voice matters every idea counts and every team member has the opportunity to grow lead and make a difference. From developing next-gen technology to bridging the digital divide to supporting education and emergency response efforts we lead with purpose and heart. Our Be The Difference initiative drives us to make a positive impact ensuring that our efforts resonate far and wide. From our products and services to our community impact we are creating connections driving innovation and POWERING this world forward. You can be a part of an exciting and transformational workplace at Optimum. Join us to Be the Difference!

Why Work With Us

Our mission is simple: deliver the best customer and employee experience while transforming how we work and grow. We’re on a journey to become the connectivity provider of choice – investing in our network reimagining our products and building a culture where people thrive. With nearly 4.5 million customers across 21 states we’re transforming fr

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