Senior Data Scientist

Lead/SR Data Scientist Location: Onsite, day one in Englewood, CO About the Role: We are looking for a Lead/SR Data Scientist to join our team to solve some hard problems for our customers. Our client is on a mission to use data to drive the roadmap for building products that they serve to their customers. We are looking for someone who has expertise in using ML/AI algorithms to improve the OTT product for better presentation of information about the content, identify customer pain points proactively, and build solutions that help customers spend more time in watching content than spending time in finding the content. The ideal candidate is expected to show strong business acumen and understand business problems, develop hypotheses and test the results to influence solution design. Having previous experience in the OTT/broadcast industry will help you to apply and shape solutions. You should be hands on with various tools for data processing, analysis and visualization, programming languages and frameworks to derive meaningful insights. (Examples: Python, Spark, R, TensorFlow, PyTorch, AWS Kinesis, Redshift,etc). Day to Day Responsibilities: Develop Code Discuss with C-level leadership, Engineers, Product Managers to formulate hypotheses, experiments, and desired outcomes. Own the solutions developed including, reliability, availability, and incident resolution Act as Subject Matter Expert on ML, Data and AI statistical models and how they apply to business problems. You will help to implement models in Machine Learning, Optimization, Neural Networks, Artificial Intelligence, recommendations, search and other quantitative approaches. Familiarity with Data Engineering techniques to gather, prepare, cleanse and transform data for analysis and AI automation, including data pipelines. Familiarity with getting data from social media - twitter, instagram, reddit, facebook, etc. Create prototypes, minimally viable products Deliver meaningful insights and predictions Demonstrate business value Mentor and coach others in the team Must Have: A Bachelor/Master/PhD degree in Computer Science Engineering/Data Science/ Operations Research/Statistics/or a related technical degree. Overall 10+ years of working experience 3+ years of hands-on working experience as Data Scientist with deep understanding of Machine Learning and AI algorithms- Linear Regression, Logic Regression, Decision Trees, K-Nearest Neighbors, Neural Networks, Random Forests, NLP/NLU, etc. 3+ years of experience with different frameworks such as Tensor flow, PyTorch, Keros, SparkML. 2+ years of hands-on coding experience with languages such as Python, R, Scala, Java, etc. Good experience with source control systems such as git Experience with production environment and models that need constant training to stay relevant Nice to Have: Experience in microservices with container technologies like Docker/Kubernetes Working experience with deploying and running services in Kubernetes Experience with the AWS services (Examples: SageMaker, Comprehend, Lex, Rekognition, Transcribe, EKS, Lambda, S3, etc) Experience with troubleshooting production systems. Good understanding and use of CICD systems such as Jenkins, Gitlab, etc. Experience with golang