[Remote] Sr. Data Scientist Specialist (Remote)

Note: The job is a remote job and is open to candidates in USA. US Foods is a leading foodservice distributor, and they are seeking a Sr. Data Scientist to execute statistical and mathematical analyses to support business decision-making. In this role, you will work with cross-functional teams to develop machine learning solutions and mentor junior data scientists.ResponsibilitiesWork with Associate Data Scientists and Data Scientists in researching data sources, data cleansing, feature engineering, and creating baseline modelsIndependently manage multiple data science model development/projectsCollaborate and engage with various cross-functional stakeholders to ensure close coordination between data science and business stakeholders including the product management teamProvide full ownership of the model development from inception to implementation including the machine learning pipeline, documentation, model drift, and remodeling strategyMentor the Associate Data Scientists and Data Scientists in data science knowledge and their interactions with other stakeholdersCoordinate with the ML team, anticipating deployment issues upfront, setting the stage for resource requirements, and ensuring the success of model deployment and retrainingTake and delegate ownership of critical tickets or issues faced by business stakeholders as assigned by the Lead Data Scientist or Director of Data ScienceRead and independently navigate through extensive codebase with a focus on troubleshooting, debugging, and/or improvement of codeContribute to coding standards and coding conventions and proactively participate in enforcing sound coding practices across the data science teamCreate and maintain documentation of the ML models, data sources, and methodologyAssist in the creation of feasibility documentsProactively participate in the core team processes including R&D, recommending, and implementing process improvements or new methodologiesShare knowledge with other various teams and members by presentation at periodic internal team sessions/workshopsGuide usage of development methodologies (Scrum, Kanban, etc.) and assist in their implementation in the group projects by deciphering details including features, tasks, estimates of efforts and timing, etcSkillsMaster's degree in data science/mathematics/CS/statistics or similar field and 3+ years of experience OR Bachelor's degree and 6+ years of experience in data scienceEffective written, verbal, and interpersonal communication skills, with the ability to work and communicate effectively with team members and cross-functional teamsAn expert-level understanding of the following topics: Classification, Regression, Clustering, Dimensionality reduction, Association rule learning, Bagging (e.g., Random Forests), Boosting (e.g., AdaBoost, Gradient Boosting), Neural Networks and Deep Learning, Model Evaluation and Metrics, Cross-validation, Hyperparameter Tuning, Optimization Algorithms, NLP and moreWorking knowledge of Agile/SCRUM methodologies with 1-2 years of experience and a practical understanding of the epics, features, and tasks that may be most relevant and how much effort is required for themSufficient intellectual curiosity to investigate the latest developments in the field (for example LLM/Generative AI models)Ability to see the big picture and anticipate issues in terms of deployment limitations, data latency, appropriateness of a particular implementation of algorithms, and mathematical details/assumptionsAt least 1+ years of working with a major cloud platform, creating ML models using frameworks from data exploration to deploymentWorking knowledge in handling large datasets in a cloud environmentWorking knowledge of how APIs work, CI/CD (Continuous Integration/Continuous Deployment)Understanding of DevOps and MLOps principles1+ years of writing production-grade code in scripting languages including Bash, Python, and SQL with the ability to identify the areas of improvement, optimal choice of data structures, optimization of the code, and creating custom code to address unique situationsProven, independent ability to navigate a data lake environment while creating training datasets or feature storesEffective skills in creating, deploying, and troubleshooting containers in the context of ML modeling1+ years of experience with version control systems/concepts, such as Git, for tracking changes in machine learning projectsAbility to investigate/research ML frameworks/algorithms, datasets, feature stores, and contribute to solving data science problemsCapability of providing macro-level thought leadership to the junior members including the Data Scientists regarding best practices, issues, causes, and respective resolutions of those issuesBenefitsHealth insurancePre-tax spending accountsRetirement benefitsPaid time offShort-term and long-term disabilityEmployee stock purchase planLife insuranceCompany OverviewUS Foods is a foodservice distributor that provides its customers with innovative food offerings and a suite of business solutions. It was founded in 1853, and is headquartered in Rosamond, Illinois, USA, with a workforce of 10001+ employees. Its website is https://www.usfoods.com.