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Data Scientist

Altice USA
United States, New York, Long Island City
May 12, 2025
Optimum

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 areOptimum!

Job Summary

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.
The Data Scientist develops models and statistical analyses to predict marketing outcomes (e.g. sales and revenue) and understands the impact of advertising investments across multiple channels for companies in various industries. The Data Scientist will be responsible for data prep, model development, model deployment, and maintenance to ensure quality and accuracy. Will provide analytical support to drive business insights for marketing and advertising campaigns. This position requires strong analytical skills in understanding and applying machine learning and optimization techniques as well as the experience in developing in-production data science applications.

Responsibilities

* Develop and implement advanced data science models, including clustering, segmentation, random forest, gradient boosting (e.g., XGBoost), ensemble techniques, and constrained optimization methods.
* Explore additional approaches such as neural networks, support vector machines, and Bayesian methods to address diverse business challenges.
* Design and execute matched-pair analyses, predictive analytics, and other statistical approaches to address business challenges.
* Collaborate with stakeholders to identify use cases for advanced modeling and provide data science-driven solutions.
* Engineer features and preprocess data to optimize model performance and interpretability.
* Work with large datasets from diverse sources, ensuring data quality and consistency.
* Perform model evaluation, tuning, and validation using appropriate techniques and metrics.
* Deploy machine learning models into production environments, ensuring scalability and reliability.
* Mentor and collaborate with team members to share knowledge and best practices.
* Stay current on advancements in data science, tools, and methodologies to bring innovation to the team.

Qualifications
  • Bachelors (Master's Preferred) degree in statistics, mathematics, computer science, data science, or economics preferred
  • 2+ years professional work experience in statistical analysis and model development
  • Deep understanding of Time Series and machine learning algorithms and experienced in applying them in real life problems
  • Experience in applying advanced Bayesian modeling techniques is a plus
  • Proficiency in querying databases (SQL) and leveraging programming languages (Python etc.) to analyze complex datasets
  • Familiarity with end-to-end data science workflow and various model deployment methods
  • Working knowledge in relational database and Amazon Web Services: Redshift, S3, Athena, etc.
  • Demonstrated problem solving and analytical reasoning skills
  • Excellent interpersonal, verbal and written communication skills
  • Experience deploying models into production environments is highly desirable

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 FAQfor 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 the posted location is $83,538.00-$137,241.00/year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity.

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