Job Title: Data Scientist
Location: San Ramon, CA(Remote 80%)
Type: Contract
Top Things
- Machine Learning & Algorithms
- Hands-on experience building and deploying ML models for real world applications.
- Understanding of model evaluation, optimization, and feature engineering
- Mathematics & Statistics
- Solid foundation in probability, linear algebra, calculus, and statistical inference.
- Programming Proficiency
- Strong command of languages like Python, R, and SQL for data manipulation and model development.
- Presentation Skills
- 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 sets
- Provides hands-on execution and implementation of data science models
- Translates 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 stakeholders
- Recognizes and prioritizes the most important work related to data science models to achieve highest operational impact for analytics in the business
- Balances tradeoffs among analytics value, model development methods and design and technologies used to implement data science models with a bias toward action
- Performs collaborative work on data science problems and mentor junior data scientists
- Creates 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 experience Job-related experience, 8 years, OR Master
- Degree and job-related experience, 6 years, OR Doctorate Degree and job-related experience, 3 years. Experience in data modeling, 5yrs
Desired Education / Skills
- PhD in engineering or a related field (computer science, natural sciences, mathematics)
- Experience with Python, R, Scala, SQL
- Experience developing solutions with Pandas/Scikit-learn, Spark or comparable technologies
- Experience data science notebooks (Jupyter, Zeppelin or other)
- Experience with AWS, Azure, cloud computing technologies
- Scrum team experience
- Energy industry experience
- Experience designing efficient data science workflows and database architecture for datascience purposes
- Experience with forecasting, Bayesian networks, and graph analytics
- Strong statistics experience
- Experience with software development methodologies and software engineering principles
- Knowledge of program management theories, concepts, methods, best practices, and techniques as needed to perform at the job level
- Knowledge 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 level
- Competency in knowing the most effective and efficient processes to get things done, with a focus on continuous improvement
- Knowledge of principles, techniques, and procedures used for production and design of technology-based equipment and systems as needed to perform at the job level
- Knowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job level
- Ability to develop reports, models, and simulations as needed to perform at the job level
- Competency in developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
- Knowledge of data model design philosophies and methodologies for data warehouse and OLTP systems
Skills: design,statistics,algorithms,data science,python
