Senior Data Scientist - Product Analytics

Key Skills

Data Biuld Tool - dbt, Data science techniques, Jupyter Notebook, Looker, Machine learning techniques, Pandas, Product Analytics, Python Programming, R Programming, RStudio, Scikit-learn, SQL, Tableau

Job Description

Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!

Do you love digging into data and rigorously telling the story behind the numbers? Are you excited about experimentation and causal inference? Do you love translating thorny business questions into metrics and models? Do you want to answer questions that drive company strategy?

We are looking for a seasoned data scientist to join our team at Afresh to work on some of our most important revenue-growing projects. Working from our Data Science and Analytics team, you’ll partner with stakeholders on our Customer teams to measure and demonstrate our product’s impact and help drive improvements. As one of the first members of the team, you will be a key player in setting the direction of the team and creating a self-serve analytics culture across the company.

Your responsibilities will also include:

• Partnering with product and business teams to develop effective success metrics (OKRs from product level to company level);
• Designing experiments to measure the impact of new features on those metrics;
• Partnering with engineering teams to develop product analytics and data monitoring/alerting systems;
• Partnering with our machine learning teams for investigations and feature engineering; and
• Becoming an expert in our data analytics pipelines and core metrics

Qualifications

We are looking for a Data Scientist with relevant and demonstrated industry experience working with cross-functional partners and driving work from idea to completion. Strong communication skills and experience collaborating with business and external stakeholders is a must.

You would also ideally have education and work experience similar to the following:

• Bachelor’s degree, preferably in Statistics, Economics, Computer Science, Mathematics, Informatics, Information Systems or another quantitative field
• 4+ years of relevant work experience (or Masters degree with 2+ years of relevant work experience or PhD with 1+ years of relevant work experience)
• Experience with experimental design, econometrics, and/or causal inference is a plus but not required

And these technical/software skills:

• Expert level skills at SQL (experience with dbt is a plus but not required)
• Expertise with Python, R, or a similar data science scripting language
• Experience with a standard data science software ecosystem: Jupyter Notebooks, pandas, scikit-learn; or RStudio, tidyverse, etc.
• Experience with BI tools such as Looker, Tableau, Power BI, or similar

Are you passionate about making a difference and eager to bring your unique skills to our team? We encourage you to apply for this position even if you don’t meet every specific criterion listed. We believe that diverse experiences and perspectives can greatly enrich our work environment and drive our success. If you’re enthusiastic about the role and confident in your ability to contribute, we want to hear from you. Bring your strengths and vision to the table, and let’s explore how you can make an impact with us.