| Need- Sr. Data Scientist Mathematics- Hybride at Remote, Remote, USA |
| Email: [email protected] |
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Processing description: http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=463672&uid= From: Sanjib Basantia, Vyze Inc [email protected] Reply to: [email protected] Job Description -Sr. Data Scientist Mathematics Duration: 12 Month Location: Hybride MOI: Skype a. Position can be remote b. Candidates from east coast or Midwest are preferred, because our team operates according to US eastern time. Summary: The Enterprise Data Science organization drives value for Hershey by creating disruptive predictive and prescriptive solutions to the Enterprise for analytics and decision-making. The Sr. Data Scientist will be working with Hershey business partners, technical engineers, data architects, and project managers to ensure data science standards adhere to company best practice and help to deliver rapid impactful benefits. The Sr. Data Scientist will act as a trusted advisor for Hershey business partners to build new, data-driven, machine-intelligent capabilities that impact the business. You will work with large volumes of data, innovative technologies, and advanced methods to solve real business problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and the customer experience. You will work with a diverse team of business analysts, technical engineers, data architects, and project managers to deliver outcomes aligned with our business partners strategy. In addition, you will work directly with the Director of Data Science to ensure consistency and compliance of deliverables to frameworks and governance processes. Applicants should have a strong background in machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition. Responsibilities: Data Science Solution Delivery: Contribute to the agile delivery of business partner strategic roadmaps using best practice data science methods, frameworks, and governance processes Data Science Domain: Collaborate with IT and business partners to define, manage and deliver innovative data science solutions to drive growth and adoption of capabilities at Hershey Data Science Advocacy: Evangelize future data science solutions identified by Enterprise Data leadership, including innovations such as: machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition Lead and coordinate key cross-functional data science efforts to accelerate value creation for agile execution team outcome delivery through machine learning and other AI algorithms As part of a team, use machine learning (ML), deep learning (DL) and other analytical techniques to create scalable solutions for business problems Interact with business partners, technologists and engineers define and understand business problems, help, and aid them to implement ML/DL algorithms when appropriate Using best practice guidance from the Enterprise Data team, oversee the health and evolution of agile execution team data science technologies Able to articulate the holistic benefits of data science from a business perspective, while maintaining the relationship with business analysts, data architects, technical engineers, and project managers Minimum knowledge, skills and abilities required to successfully perform major duties/responsibilities: Working knowledge of agile frameworks Ability to manage multiple priorities, meet deadlines and produce quality results under pressure Demonstrated leadership and managerial skills Strong problem solving and analytical skills Strong team player, change agent, and advocate Excellent customer service skills High energy self-starter Excellent verbal and written communication skills Desired Qualifications: Education: minimum Masters degree majoring in industrial systems engineering, mathematics and/or other engineering domains with strong Operations Research (OR) background; PhD preferred Extensive experience with tech stacks like Python, DataBricks, Solvers (CPlex, Gurobi, OR-Tools, etc.), Snowflake Demonstrated expertise in optimization algorithms like linear programming (LP); integer programming (IP); mixed integer program (MIP); and other optimization problems Working knowledge with modern cloud-based data storage and compute environments (e.g., Snowflake, Databricks in Azure, etc.) Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners Experience with Agile delivery Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus Experience of building/deploying Machine learning models like forecasting and market mix models in retail and/or CPG Thanks and Regards. Sanjib Basantia Technical Recruiter Vyze INC (An E- VerifiedCompany) Email: [email protected] 25179 Methley Plum Place, Aldie, VA 20105 www.vyzeinc.com Disclaimer: This communication, along with any documents, files or attachments, is intended only for the use of the addressee and may contain confidential information. If you are not the intended recipient, you are hereby notified that any dissemination, distribution or copying of any information contained in or attached to this communication is strictly prohibited, To remove your email address permanently from future mailings, please send REMOVE to [email protected] . Keywords: artificial intelligence machine learning information technology Virginia http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=463672&uid= |
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| 05:30 AM 29-Jul-23 |