Data Scientist Lead

AAA • Costa Mesa, CA

19h • Hybrid

About The Position

As our Lead Data Scientist, you will act as an internal business consultant to help optimize every facet of this organization. You will solve problems and answer questions – using data – for other departments to help us reduce costs, reduce errors, and be a better organization for our 17 million members. This role is remote, but you must be able to report to the Costa Mesa, CA office for regular collaboration days. What You’ll Do Every day, you will help solve business problems presented to us by stakeholders using data. You will get a scenario or problem, such as, “We need to reduce cycle times,” and then pull, analyze, and interpret data relevant to that scenario. You will pull data from SQL databases. You will analyze and interpret data using Python, R, or other tools. You will determine patterns or trends and their statistical significance to the problem. To visualize the data, you will use Tableau. Once you have done your analysis, paired with a data engineer, you will present your findings to the stakeholder and confirm, refute or simply acknowledge a hypothesis. Your work may be implemented or may develop into something else.

Requirements

• Solid foundation of statistics and data analysis.
• Ability to describe a project where you pulled data, analyzed it, identified trends or patterns, determined significance, and delivered insights or recommendations to the business, including your approach, tools used, root cause identification, and hypothesis confirmation/refutation.
• Proficiency with SQL for pulling data.
• Proficiency in either Python or R for curating and analyzing data.
• Excellent communication skills.
• Attitude of flexibility.
• Experience working previously with an Agile team or understanding of Agile concepts.

Nice To Haves

• Reside within a 100-mile radius of our Costa Mesa, CA office.
• Available to work on-site once a week on a regular basis.
• Available to work on-site 2–3 times per month for team meetings and collaboration days.

Responsibilities

• Help solve business problems presented by stakeholders using data.
• Pull, analyze, and interpret data relevant to specific scenarios or problems.
• Pull data from SQL databases.
• Analyze and interpret data using Python, R, or other tools.
• Determine patterns or trends and their statistical significance.
• Visualize data using Tableau.
• Present findings to stakeholders.
• Collaborate with data engineers.
• Participate in daily standup meetings.
• Complete projects or stories during bimonthly sprints.
• Meet frequent deployment deadlines.

Benefits

• Health coverage for medical, dental, vision
• 401(K) saving plans with company match AND Pension
• Tuition assistance
• Floating holidays and PTO for community volunteer programs
• Paid parental leave
• Wellness programs
• Employee discounts (membership, insurance, travel, entertainment, services and more!)
• Incentive program based upon the achievement of organization, team and personal performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 1-10 employees