Company Description

Postal is an offline marketing automation platform and marketplace that helps personalize, automate, and scale direct mail, internal and external events, branded company swag, and personalized gifts to drive better engagement with prospects, customers, partners, and employees.

With over $200B spent annually in B2B offline engagement, Postal’s expansive vendor marketplace, flexible integrations, and comprehensive events portal help companies drive brand loyalty, increase conversions, boost overall employee happiness, and improve customer health scores.

Every business in the world can use Postal.

Postal has raised over $30m in two rounds over the last 24 months from top tier investors Mayfield Fund (Marketo, Outreach) and OMERS Capital (Shopify, Crunchbase). Partners include Salesforce, Hubspot, Adobe, Outreach, Salesloft, Amazon, and Shopify. 

Our nationally recognized founding team has led multiple high-growth startups to over a $1B in market value and exits. Employees come from all walks of life and from various locations across the US and enjoy a comfortable work/life balance. Our headquarters are based in San Luis Obispo, CA and we are focused on taking care of employees, customers, and partners.

Job Description

Postal is looking for a talented data scientist to help oversee the collection, storage, and interpretation of data. This will include shifting through data points to create organized categories, comparing data points to current company processes and writing reports outlining business predictions or proposals. You will work closely with company departments to pull data following department decisions or initiatives to weigh their success.

Responsibilities

• Collect data by analyzing business results or by setting up and managing new studies

• Build tools to automate data collection

• Search through large data sets for usable information

• Create reports and presentations for business uses

• Correlate similar data to find actionable results

• Transfer data into new formats to make it more appropriate for analysis

Qualifications

• Bachelor’s degree or higher in statistics, computer science, mathematics or related quantitative field

• 2-5 years experience

• Proficiency in Python, R and standard statistical modeling packages

• Advanced knowledge of SQL and NoSQL databases

• Exceptional technical writing skills

• Ability to communicate complex data in a simple, actionable way

• Statistical techniques such as regression, hypothesis testing, and multivariate analysis

• Flexible and adaptable to change

• Strong attention to detail

• Analytical and problem solving skills

• Enthusiasm to collaborate with different teams in unique environments

Additional Information

At Postal we believe in a strong work/life/spiritual balance that only comes with a strong company culture that supports its people to do their best work. We don't take ourselves too seriously, but we do have high expectations for our team and we ask that they have the same for us. 

We embrace people for who they are, and believe that diversity, inclusion and belonging are our greatest strengths. Perks include continuous learning opportunities, healthcare benefits, unlimited PTO, team outings, volunteer opportunities, and more.