Decision Scientist Lead

Jobtailor; California (MO); On-site; USD 140,000 - 240,000; Full time

Job summary

Jobtailor is seeking a senior data analytics leader to guide the Data 360 product analytics roadmap and insights. You will partner with executives and cross-functional teams to shape strategy, metrics, and adoption of Data 360 across Salesforce.

The role requires 8+ years in analytics, an MBA or quantitative master’s, and strong Python/R SQL skills with a track record of delivering strategic impact.

Qualifications

• 8+ years of experience as a data science or analytics professional.
• MBA or Master’s in Technology or quantitative field.
• Experience reporting to senior executive leadership.
• Exceptional written and verbal communication.

Responsibilities

• Inform the product roadmap for Data 360 product analytics.
• Collaborate across a fast-paced, cross-functional team of analysts, data engineers, and visualization engineers.
• Develop metrics and insights to grow Data 360 adoption and usage for Salesforce.

Skills

Data analytics

Executive communication

SQL

Python/R

Statistics/ML

Product analytics

AI tools

Cross-functional collaboration

Problem solving

Time zone flexibility

Bias toward action

Education

MBA or quantitative master’s degree

Tools

Python

R

Pandas/NumPy/ SciPy/Statsmodels/Scikit-learn

SQL

Job description

• Thought leader and trusted advisor to the T&P leaders
• Contribute to a team of high-achieving, innovative, fast-paced team of analysts, data engineers, and visualization engineers
• Master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams
• Inform the product roadmap development and execution for Data 360 product analytics
• Foster deep collaboration with cross-functional partners to establish the roadmap for the team
• Develop the metrics and product insights required for Salesforce to grow Data 360 adoption and consumption

Requirements

• 8+ years of demonstrated experience as a data science or analytics professional
• MBA or Master’s in Technology (computer science, computer engineering, economics, applied math, statistics, engineering, or other quantitative field)
• Proven experience working directly with senior executive leadership
• Expert communicator in written and verbal form
• Proven experience thinking out-of-the-box and solving tough problems
• Proficient in statistics or machine learning and strong data manipulation, product analytics, and statistical analysis skills
• Adept proficiency in Python or R (specifically the PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit-learn)
• Mastery of SQL for complex data extraction, feature engineering, and performance tuning within cloud data warehouses
• Strategic problem solver who simplifies problems to their core elements and finds creative solutions
• Experience leveraging AI tools to enhance your flow of work
• Get-it-done mindset with a strong bias towards action and impact
• Willingness to work across a global team and time zones