We are seeking a highly motivated and talented Senior Data Scientist to join our team of experts in developing and maintaining recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps. As a member of our team, you will play a pivotal role in shaping the future of our streaming services by applying state-of-the-art machine learning methods to meet strategic product personalization goals. Responsibilities: Algorithm Development and Maintenance: Utilize cutting-edge machine learning techniques to develop and enhance algorithms for personalization, recommendation, and predictive systems. Take ownership of maintaining and optimizing algorithms deployed in production environments. Serve as the point person for explaining methodologies to both technical and non-technical teams, fostering clear communication. Analysis and Algorithm Optimization: Conduct in-depth analysis of user interactions within our apps and user profiles to drive improvements in key personalization metrics. Collaborate with data scientists and engineers to refine algorithms and enhance their performance continually. Innovate and develop machine learning products that can be used for new production features or by downstream production algorithms. Work closely with cross-functional teams to prototype and operationalize personalization solutions. Maintain and establish best practices for algorithm development, testing, and deployment, ensuring high-quality code and efficient processes. Collaboration with Product and Business Stakeholders: Identify and define new personalization opportunities by collaborating with product and business stakeholders. Collaborate with other data teams to improve data collection, experimentation, and analysis methods. Required Qualifications: 7+ years of analytical experience 5+ years of experience developing machine learning models and performing data analysis with Python and tensor-based model development frameworks (e.g. PyTorch, Tensorflow) 5+ years writing production-level, scalable code (e.g. Python, Scala) 5+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings for recommendation engines In-depth understanding of the latest in natural language processing techniques and contextualized word embedding models Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark Familiarity with data exploration and data visualization tools like Tableau, Looker, etc. Understanding of statistical concepts (e.g., hypothesis testing, regression analysis) Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Ability to explain how models are used and algorithms behave to both technical and non-technical audiences Additional Preferred Qualifications: MS or PhD in computer science, data science, statistics, math, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Experience with graph-based data workflows such as Apache Airflow Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases such as Snowflake Familiarity with automated deployment, AWS infrastructure, Docker or similar containers Flexible work from home options available. Compensation: $140,000.00 - $160,000.00 per year About Us Triunity is a Product Development, Staff Augmentation, and Consulting Services company providing solutions and services in North America. We provide IT services and technology solutions to various business verticals like Healthcare, Pharma, Banking, Finance, etc. Our goal is to develop a long-term partnership with businesses and help them get a competitive advantage by providing IT infrastructure and software platforms. Triunity Culture Our core value is our people and our teams. We believe the real mantra of success is like-minded people with the right mix of technical and analytical skills. Our strength lies in bringing the right set of people and delivering work as a team. Be it expert or intern, Triunity always values its own people and gives them a platform to excel in their career. At Triunity you can expect: Work on new edge technologies & tools Work with industry experts Solving complex client problems and delivering solutions Working on projects lasting from six months to several years (if you already have a resume on Indeed) Or apply here. * required fields First Name * Last Name * Email * Phone * Yes, Text Me! For the fastest response to interviews & follow-ups. Opt-out anytime. Let Us Text You! Texting increases your chance for an interview. Texts for this job only. Opt-out anytime. I was referred to this position by a current employee #J-18808-Ljbffr Triunity Software, Inc.
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