Team

Our team is growing.

At Acorn Analytics, we know that diversity means more than what can be seen on the outside. Diversity comes in the form of life experiences – different cultures, backgrounds, training, victories, and struggles.

We are building a diverse team of passionate people from around the globe, who can confidently bring their competence, creativity, and individuality to our squad. We want those who can help us transform not only data science and analytics consulting, but the culture of tech — for good.

Check out our Diversity page to read more about our philosophy around diversity in tech. 

MORE ABOUT DIVERSITYSAY HELLO!

The Acorn Crew

     

Founder & CEO
Data Scientist

Mike Zawitkowski

Mike founded Acorn Analytics to cure the world of bad data practices.

After growing up and attending high school in Poland, Mike moved to the US and earned his bachelor’s with a dual degree in Music Production & Engineering and Business Management. Mike has a wealth of experience in the startup world, with past roles in client relations, product management, project management, business operations, consulting, and of course, analytics and data science.

Mike has been heavily involved with various volunteer efforts over the years, including Toastmasters International and Code for America, and is also a proud graduate of the Ambassador of Possibility course.

In his spare time, Mike enjoys spending time with his wife in their home in Boulder, CO, dreaming of one day having alpacas (and one guard llama) on his property.

Senior Associate
Data Scientist

Liz Mitnick

Liz, who has been part of the Acorn team since early 2019, earned her B.A. from Washington University in St. Louis, followed by a Ph.D. in Earth Science from the University of California – Berkeley. During her academic tenure, she gained experience in analytics, data visualization, and programming.

After earning her degrees, Liz pivoted from academia to the tech universe, taking her analytical science training and putting it to work as a data-whisperer. Not only does she excel at finding nuggets of insight amid messy datasets, Liz is also expert at communicating findings to her clients – making sure recommendations are actionable, concrete, and of course – backed by data. 

In her spare time, Liz enjoys making free-form art, writing, practicing yoga, and hanging out with her cool neighbors in Haight-Ashbury.


Senior Associate
Data Scientist

Pamela Kaercher

Pamela looks forward to wearing different hats as a full-stack data scientist at Acorn Analytics and working with a variety of data and people.


Pamela double majored in math and physics at St. Olaf College, while playing her saxophone, and earned her PhD in Earth and Planetary Science at UC Berkeley, where she met Liz! She’s taught English in China, consulted at Accenture, made and squished rocks in England to see how they deform, and analyzed crime data for the New Orleans Police Department. Throughout it all, she has always had a love of math and data analysis, an appetite for learning, and the propensity to try to pet every dog and cat she crosses paths with.


When Pam’s not petting dogs and cats, she climbs, camps, cooks, coffees, and alliterates.


Senior Associate
Data Scientist

Jai Bansal

Jai joined Acorn to be part of a great team solving interesting problems.


He studied Math and Economics at the University of Miami and later earned an MA in Economics from the University of Southern California. He’s previously analyzed data and built models in the furniture, restaurant, and energy drink industries. He’s always enjoyed working with numbers and discovering what they can teach us about the world.


Outside of work, Jai enjoys recreational soccer and competitive board gaming.

Project Manager, Biz Dev, Strategy
Chief of Staff

Amber Bruce

At her last company Amber was involved in the creating incentive programs for customers, telling the company origin story in a podcast, and developed/co-lead their culture hack program for employee-driven initiatives.


She holds a bachelor’s degree in English Literature. She’s used this skill to create project roadmaps and presentation decks. Her early “career” started as a live-in volunteer with an intentional community in the remote forests of Oregon. There she learned conflict resolution, committee management, and the value of hard labor tending her farm and 80 acres of forest.


She’s most excited to be part of a company whose values are beneficial to the LGBTQ community and her lifelong home in the SF Bay Area.

Get to know our teammates.  

Melissa Lin

Data Scientist

Melissa spends too much time shopping online, putting things in her cart and never checking out.

Arash Payan

Software Developer

Arash does not own a pair of dress shoes.

Marcin Polkowski

Senior Data Scientist

Marcin has three daughters and still hopes for a son.

Sonia Przygocka

Full Stack Data Scientist

Sonia created a gatling gun out of paperclips for a class project.

We’re on the lookout. 

We’re looking for people with an abundance of compassion, curiosity, and drive.

We want teammates who identify as life-long learners, who will take advantage of the education budget we provide (yes, we put our money where our mouth is). We’re looking for those with the strong ability to communicate in both technical and non-technical arenas, and who are interested in doing both computer- and client-facing work. We only hire candidates who play well with others, so if you’re a lone wolf programmer type, we are probably not a match!

Do you have a vision for the future? Do you want to put your skills to work? Do you want to work with a team who invests in you? Reach out and join the Acorn team.

If you are interested in a position with us, please send your resume and cover letter to jobs@acornanalytics.com. Please note that we only consider applications that express specific interest in our company and who are interested in doing both client facing and behind-the-scenes analytical work.

REACH OUTLEARN MORE ABOUT ACORN

(No recruiters, please.)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.