Data Scientist

Job Title: Data ScientistLocation:& San Ramon, CA(Remote 80%)Type: Contract& TOP THINGS:- Machine Learning Algorithmso Hands-on experience building and deploying ML models for real world applications.o Understanding of model evaluation, optimization, and feature engineering- Mathematics Statisticso Solid foundation in probability, linear algebra, calculus, and statistical inference.- Programming Proficiencyo Strong command of languages like Python, R, and SQL for data manipulation and model development.- Presentation Skillso Provide insights in clear and concise manner for upper management review through various mediums such as graphics, power point presentations, dashboards, etc.& Position Responsibilities:Leads development of high complexity models and training setsProvides hands-on execution and implementation of data science modelsTranslates business analysis needs into well-defined data science problems, and selecting appropriate models and algorithms and communicates model evaluation and implications of results back to stakeholdersRecognizes and prioritizes the most important work related to data science models to achieve highest operational impact for analytics in the businessBalances tradeoffs among analytics value, model development methods and design and technologies used to implement data science models with a bias toward actionPerforms collaborative work on data science problems and mentor junior data scientistsCreates shared process models, business objects, activity diagrams and process documentation to effectively articulate multiple views of the business solutions that support technical architecture.Manages development of quantitative models and tools.Collaborates with leaders, other LOBs, and business partners to work on issues, projects or activities.Develops new or revises complex models to predict business demand trends, and volume and expenditures forecasts capacity analysis, and various other metrics to identify potential opportunities.Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.Partners with leaders to drive high performance in their lines of business.Develop deep understanding of business drivers and financial levers to provide strategic decision support.Oversees resolution of complex projects and programs.Develops and maintains up-to-date detailed project schedules and work plans.Performs analysis on complex data models requiring customized reports and data and presents recommendations. Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experienceJob-related experience, 8 years, OR MasterDegree and job-related experience, 6 years, OR Doctorate Degree and job-related experience, 3 years. Experience in data modeling, 5yrsDesired Education / Skills:PhD in engineering or a related field (computer science, natural sciences, mathematics)Experience with Python, R, Scala, SQLExperience developing solutions with Pandas/Scikit-learn, Spark or comparable technologiesExperience data science notebooks (Jupyter, Zeppelin or other)Experience with AWS, Azure, cloud computing technologiesScrum team experienceEnergy industry experienceExperience designing efficient data science workflows and database architecture for datascience purposesExperience with forecasting, Bayesian networks, and graph analyticsStrong statistics experienceExperience with software development methodologies and software engineering principlesKnowledge of program management theories, concepts, methods, best practices, and techniques as needed to perform at the job levelKnowledge of relevant programming languages - for example Visual Basic, Ladder Logic,Programmable Logic Controller, C, SharePoint, HTML, Java, Adobe - as needed to perform at the job levelCompetency in knowing the most effective and efficient processes to get things done, with a focus on continuous improvementKnowledge of principles, techniques, and procedures used for production and design of technology-based equipment and systems as needed to perform at the job levelKnowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job levelAbility to develop reports, models, and simulations as needed to perform at the job levelCompetency in developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesKnowledge of data model design philosophies and methodologies for data warehouse and OLTP systems

Salary : $140,000 - $200,000