- 4+ years of professional experience as a data scientist in the SaaS industry
- Mastery of SQL
- Experience with Python for statistical analysis and building machine learning models
- Partner closely with Product and Go-to-Market teams to understand the technical and business context of their work, define measurable KPIs and goals, and build new data science/Client models that drive business value
- Design, implement, and analyze A/B experiments and develop causal research to measure the impact of business initiatives
- Distill complex data and findings into understandable narratives, communicate with cross-functional stakeholders and make actionable recommendations
- Mentor junior members of the team
- 4+ years of professional experience as a data scientist in the SaaS industry
- Mastery of SQL
- Experience with Python for statistical analysis and building machine learning models
- Working knowledge of Unix command-line/shell and git
- Experience deploying models in a production environment, ideally with Databricks
- Strong presentation and written communication skills with the ability to build consensus with multi level cross-functional stakeholders
- Someone with extremely high standards that obsesses over data accuracy. You're practical and know perfect is the enemy of good, but you aspire for us to be great. You care deeply about the quality of your work and our data. You are passionate about finding the insights and "truth" that data can give.
- A big picture, systems thinker. You think about how the whole is a sum of many parts and how we can properly measure them end to end such that we have the per context for insights.
- An owner. You feel personally accountable and responsible and know seeing the problem is less than half of it. You look for problems and inefficiencies and find elegant solutions to them before they become major issues.
- Fast-paced. You love the speed of and impact you have in startups. Conversely you never, ever want to be a tiny cog in a gigantic machine.
- An open-minded learner. You live to learn new things, like staying up to date on new technologies, tools, and techniques. You are inspired by what people inside and outside our company know and are eager to incorporate the world's knowledge into your work.
- Emotionally mature & humble. You care about being effective over being right. Ideally you've made major changes & decisions in your life and learned from the results.
- Communicative & empathetic. You are happy when helping others succeed, particularly your team and partners across the company.
- You have experience working in a fast paced startup environment
- Experience with dbt or similar analytics workflow tools a big plus
- Proven record of writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs
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Data Scientist - San Francisco, United States - Ursus Inc
Description
JOB TITLE: Data ScientistLOCATION: San Francisco, CA (Tues-Thurs onsite)
DURATION: FTE
RATE RANGE: $152,000-$180,000
**TOP 3 SKILLS:**
We are a top-notch data organization with a great culture and have the same high standards with our code, systems, practices, and people. We value learning and growth and hire diverse, well-rounded, communicative people. We are looking for a talented and driven technical leader to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, and engineering to develop and deliver predictive models that drive impact. Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions. Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks. If you're looking to challenge the status quo and build the Office OS, come join us.
This is a hybrid position that requires at least 3 days a week (Tuesday - Thursday) in our San Francisco HQ.
RESPONSIBILITIES: