Senior Data Analyst Leader

1 day ago


San Jose, California, United States Bill Full time
Fintech Innovation Through Data
Billing can significantly impact businesses. At Bill, we're using advanced technologies like machine learning algorithms to ensure our clients make informed decisions about their finances. Our Data Scientist role plays a crucial part in this process.

About the Job
This job involves several responsibilities: designing, developing, and implementing predictive models; analyzing large volumes of complex transaction activity; and working collaboratively across departments to implement these insights into new products and services.

Key Skills
• A graduate degree in Data Science, Computer Science, Statistics, or another relevant subject area
• Technical expertise in statistical analysis, machine learning methodologies, and cloud-based environments using Python or R
• Experience working on high-impact projects within a data science setting, along with solid problem-solving and analytical skills
• The ability to work effectively with other departments and communicate complex data findings to diverse groups

Benefits
$167,400-$200,700 annual salary range
• Comprehensive benefits package including medical, dental, vision, life insurance, short/long term disability insurance, employee assistance program (EAP), 11+ observed holidays, flexible time off, stock purchase program, wellness initiatives, recognition and referral programs

Company Overview
At Bill, our purpose is to free business leaders from tedious tasks so they can focus on strategic decision-making. To achieve this goal, we combine cutting-edge technology, insightful data analysis, and talented professionals who understand how to apply this knowledge effectively. As a data scientist at Bill, you will collaborate closely with various teams to create innovative products that help businesses thrive.

Responsibilities
The ideal candidate should have an advanced degree in a field such as Data Science, Computer Science, Statistics, Mathematics, or a related field. Key requirements include:
• Developing predictive models, machine learning algorithms, and statistical analyses to address complex business problems and extract meaningful insights
• Collaborating with product, engineering, and business teams to integrate data science solutions into the product roadmap and enhance customer experiences
• Staying current with developments in data science and machine learning, applying them to improve existing processes and methodologies
• Mentoring junior data scientists and analysts, fostering a culture of continuous learning and innovation

Salary Range
$167,400 - $200,700 per year
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