Data Scientist jobs in Anaheim, CA

JOB SUMMARY

The Data Scientist I will be an integral member of the Data and Business Intelligence team. In this role, the Data Scientist I will support Data Engineers and Solution Architects with data exploration, interpretation, publishing and Data Storytelling. The ideal candidate will leverage their knowledge and experience using a variety of data mining and statistical analysis methods, to build algorithms, predictive models, and perform custom analysis. The Data Scientist I will identify patterns, correlate data and apply techniques such as machine learning, statistical modeling, and AI to find actionable insights using data for better business decision making.

ESSENTIAL FUNCTIONS

Data Mining and Analysis – Able to inspect, cleanse, transform and model data with the goal of discovering useful information, informing conclusions and supporting decision-making through statistical modeling

• Research, analyze and identify data requirements and business processes
• Mine and analyze data from company databases to drive optimization and improvement
• Analyze data to discover and interpret patterns, trends and variances in large data sets
• Assess the effectiveness and accuracy of new data sources and data gathering techniques

Data Modeling-Able to write, test, debug, and maintain data workflows for end-user adoption, productivity improvement and efficiency.

• Support the use of predictive modeling to increase and optimize customer experiences
• Develop custom models and algorithms to apply to data sets
• Support the development of processes and tools to monitor and analyze model performance and data accuracy
• Assist with technical design
• Assist with troubleshooting technical issues
• Develop knowledge of the company’s applications
• Participate in peer code reviews

Technical Design-Able to identify, analyze, specify, design, and translate functional design to technical design.

• Creates and documents technical designs for low complexity solutions
• Participates in peer design review

Requirements Elicitation - Ability to identify a desired future state that addresses a business problem.

• Effectively use interviewing skills to elicit, identify, and document big data business requirements
• Coordinate with different functional teams to implement models and monitor outcomes
• Prioritizes requirements to identify the most critical needs.

Adherence to Standards – ability to create solutions that adhere to and incorporates RTS standards

• Applies and users information and technology standards in design of solution
• Obtains key inputs from Enterprise Architecture to ensure compliance and exception management

Provide Accurate Project Effort Estimates – ability to quantify and meet individual and project phase level efforts

• Create, manage and meet accurate project effort estimates for assigned tasks
• Meet project estimates
• Adhere to RTS project methodology throughout project lifecycle

COMPETENCIES

Problem Solving - Ability to problem solve through problem identification (what is the problem), solution assessment (what can be done), problem documentation (document for future) and problem response (implementing a solution).

Able to:

• Frame problems before trying to solve them.
• Break down low to medium complexity problems and identifies all of their components.
• Provide insight into the root-causes of problems.
• Seeks advice from those who have solved similar problems.
• Anticipate problems and is proactive in addressing them.
• Follows up to ensure that the problem has been resolved.

Decision-making - Makes sound, well-informed, and objective decisions; perceives the impact and implications of decisions; commits to action, even in uncertain situations, to accomplish organizational goals.

Able to:

• Gather relevant information before making decisions.
• Escalate decisions when appropriate.
• Weigh pros and cons of each option before making a decision and moving forward.
• Apply lessons learned from prior decisions.

Customer Service - Ability to develop and maintain strong relationships with others by listening, understanding and responding to their needs.

Able to:

• Provide service to internal customers to satisfy their needs and expectations.
• Listen to concerns and resolves reported issues effectively and promptly.
• Ensure and complies with customer response timeline (SLAs) based on the severity of reported issues including documenting concise and accurate status information in the ServiceNow ticketing system.
• Deliver high quality products and services.
• Commit to continuous improvement.

Company Business Knowledge - Understands the company, its products and the business processes.

Able to:

• Understand one or more area within a company,(i.e., finance, sales, procurement, warehouse).
• Know and apply specific Reliance business knowledge pertinent to job responsibilities.

Accountability - Holds self-accountable for measurable high-quality, timely, and cost-effective results.

Able to:

• Coordinate between own functional area and areas below or above in the project stream as needed.
• Set well-defined and realistic personal goals.
• Comply with established policies and procedures.
• Accept responsibility for mistakes.
• Display a high level of initiative, effort, and commitment towards completing assignments.
• Minimize re-work.
• Seek out learning opportunities.
• Identify training needs and takes action to obtain knowledge.

Communication - Ability to communicate effectively across all levels to support departmental and organizational objectives.

Able to:

• Clearly express information taking into account audience and nature of the information (for example, non-technical, sensitive, and controversial).
• Ask questions and summarizes what was heard to prevent miscommunication.
• Present information in a concise and focused manner.
• Listen to others.
• Communicate written information (for example, facts, ideas, or messages) in a succinct and organized manner.
• Produce written information, which may include technical material that is appropriate for the intended audience.

Building Collaborative Relationships - Develops, maintains, and strengthens partnerships with others inside or outside the organization.

Able to:

• Establish rapport with co-workers easily.
• Encourage and facilitates cooperation, pride, trust and group identity.
• Fosters commitment and team spirit.
• Works with others to achieve goals.
• Listens and responds constructively to other team members' ideas.
• Offers support for others' ideas and proposals.
• Is open with other team members about his/her concerns.
• Share his/her expertise with others.

Leadership – Displays effort and commitment in carrying out the department’s goals and objectives.

Able to:

• Act in a proactive and achievement-oriented manner.
• Treat co-workers in a fair and equitable manner.
• Empower others by sharing information. - Actively listens and clarifies information as needed.
• Foster an atmosphere of open communication.
• Behave in a tactful, compassionate, and sensitive manner.

ANNUAL PAY:

$92,500 - $119,500

• Bachelor’s Degree in Computer Science, Data Science, Mathematics, or equivalent work experience in a related field required.
• 1 years’ of relevant experience in the design, execution and use of data analysis techniques and tools required
• 1 years’ experience handling data sets and building statistical / machine learning models
• 1 years’ experience in Query Languages such as SQL, SQLite required
• 1 years’ experience with Java and/or Statistical program languages such as Python, R, SAS, etc. required
• Understanding of Data Mining, Machine Learning tools and techniques (clustering, decision tree learning, neural networks, etc.), the natural language processing techniques, and their real-world advantages/drawbacks.
• Knowledge of statistical analysis techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Knowledge of data exploring, wrangling, blending, cleansing and standardization required
• Understanding of cloud computing such as AWS.
• Must be self-motivated and able to work independently and as part of a team.
• Ability to communicate effectively, both verbally and in writing, at all levels including customers, vendors, peers, business stakeholders and management required.
• Proficient with Microsoft Windows and Microsoft Office products required.
• Capable of learning new systems.
• Customer service oriented.