Senior/Lead Data Scientist

Key Skills

Apache Hive, Java Programming, Presto, Python Programming, Salesforce, SPARK Programming, SQL

Job Description

If you are currently in college/ grad school or have less than 2 years of experience - please check out FutureForce job opportunities at Salesforce:

https://www.salesforce.com/company/careers/university-recruiting/

Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. We are the fastest growing of the top 10 enterprise software companies, the World’s Most Innovative Company according to Forbes, and one of Fortune’s 100 Best Companies to Work For six years running. The growth, innovation, and Aloha spirit of Salesforce are driven by our incredible employees who thrive on delivering success for our customers while also finding time to give back through our 1/1/1 model, which leverages 1% of our time, equity, and product to improve communities around the world. Salesforce is a team sport, and we play to win. Join us!

Salesforce has a number of teams hiring Product Analysts/Data Scientists with a variety of experience across, but not limited to, the following types of teams:

• Pricing Intelligence
• AppExchange
• Infrastructure Analytics

Each team is made up of data scientists, engineers, growth analysts, and information management experts who are dedicated to driving product strategy with data-driven insights. Teams with executives, product managers, designers, developers, user researchers, marketers, and sales strategy team members across all Cloud businesses to discover new opportunities for growth and optimization, experiment with data, drive adoption, and deliver useful insights that impact product strategy.

As a Senior/Lead Data Scientist, you will be partnering with the Product, Infrastructure, and Engineering teams embedded in the Cloud businesses, as well as functional leaders who provide data and analytical infrastructure, identify and execute initiatives that benefit the whole Di and multiple Cloud businesses. The successful candidate will need to:

• Partner with Senior Leadership (VP+) to understand their business and advise on strategic objectives, product direction, roadmaps, growth goals and retention strategies; as a Senior Analyst/ Data Scientist you will develop and own the relationships with senior stakeholders
• Produce insights (e.g. performance drivers, retention analysis, behavioral personas) to accelerate business growth; this requires acquiring and cleaning data from multiple sources, structuring and building data models, analyzing to generate insights, and distributing them 
• Partner with the data engineering team and product engineering team to instrument, acquire, develop and structure data assets that are critical to measuring the success of our products
• Own the delivery by working with data engineers and business intelligence engineers to turn insights into data products (e.g. data pipelines, algorithms, self-service dashboards)
• Research, develop and implement automated algorithm deployment pipelines and processes
• Evangelize and distribute data products that drive action or product improvement
• Contribute to expanding the Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and autonomously improving team processes

 Who You Are:

• Analytical thinker with a passion for using data and scientific methods to solve business problems (5+ years of experience in product analytics or data science)
• Proficient with common analytical programming languages e.g. Python; expert in SQL
• Expert in end to end data development, including data model design, quality review, deployment and maintenance 
• Experienced in developing and deploying data science models, especially in the Cloud environment
• Passionate about automating data that directly solving business problem
• Charismatic storyteller ready to lead growth conversations with senior leadership
• Lover of building relationships and collaborating in a cross-disciplinary environment.

Preferred Qualifications:

• Technical education in Quantitative or Technical Degree program (Master’s degree or higher preferred)
• Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc.)
• Experience in time series forecasting methods