Data Science Lead

Harvest
Full time data science saas sql
Other
United States
Hiring from: Anywhere

About Harvest


Harvest is an independent software company that makes tools to help businesses run more smoothly. We believe that businesses only succeed by using their time intentionally. Our products support our customers through time tracking, reporting, and forecasting features.


Harvest started in 2006 as a team of three and has grown to today’s current total of almost 60 lovely faces. We’ve worked as a remote team since the beginning and we continue to hire the right people for the job no matter where they call home.


We also strive to create a workplace culture where everyone feels valued, included, and heard. One important aspect of this is continuing to create spaces for diverse life experiences and work histories. If you are a member of a group that is historically underrepresented and disadvantaged in tech, business, and society in general, we want to meet you and we encourage you to apply.


The Product Team and Why We’re Hiring


The Harvest Product Team currently consists of the Head of Product & Customer Experience (who will be the direct manager for this position), two Product Managers, and two Product Designers. This Team works very closely with our Customer Experience team.


Our Head of Product & Customer Experience joined the company in early 2020 and is moving the department toward a more data-centric approach. We are expanding the scope of this department to include a brand new team, focused on data analytics, to work alongside our Product Managers and Product Designers.


--------------------------


Data Science Lead Responsibilities


As the founding lead for a brand new team at Harvest, you’ll shape the way Harvest uses data science and analytics from the ground up to inform strategic level business decisions. Your team will work across the company, touching every aspect of Harvest. You will build a team that interacts with product, design, marketing, engineering, and customer support to propose insights, build and monitor KPIs, and deploy interesting machine learning and predictive models to better understand how to best help our customers succeed. You’ll report to our Head of Product + Customer Experience.


What you’ll do:



  • Build the insight team from scratch.

  • Apply your expertise in quantitative analysis, insight generation, and communication to see beyond the numbers and understand customers and prospects.

  • Work closely with cross-functional teams to help educate and grow a more data-informed company culture, build KPI dashboards, and analyze macro trends.

  • Work directly with the executive team to use data to help inform company-wide strategy, identify gaps and opportunities, measure progress, and support day-to-day execution and delivery of various business level aggregated OKRs.

  • Bring to life machine learning discipline that can ultimately perform predictions, analyze patterns, and uncover hidden stories told through data.

  • Partner with cross-functional teams in developing research initiatives and undertake data exploration.

  • Work with Engineering to build a robust scalable data infrastructure required to grow a sustainable data


Requirements


Who you are:



  • You have a strong vision for the role of data science. You know how to uncover untold stories through data and impact big decisions with them.

  • You are curious, a deep learner, a craftsperson. You care about helping others make informed decisions with the use of data. You take initiative in starting things.

  • You have a deep understanding of SaaS business model, business intelligence funnels, and growth tactics.

  • You like small teams. You want to get to know people by name, and you’re not shy about starting something from scratch.

  • You value a distributed and diverse work culture. Working side-by-side with co-workers from around the world is something you cherish.

  • You have a desire to build a team that balances practicality and reality with rigor, modeling data-informed decision making for all of Harvest.

  • You love educating and mentoring others. You believe helping people help themselves cultivates a data-informed culture for everyone.


What you’ve done:



  • 10+ years of experience in working in the field of data science, quantitative analysis, or business intelligence.

  • 5+ years working in SaaS or Marketplace businesses.

  • 3+ years of experience in managing other team members in a formal or informal capacity.

  • 10+ years experience in SQL and other programming languages.

  • Deep technical expertise in predictive modeling and machine learning.

  • Experience initiating and driving projects to completion with minimal guidance.

  • Experience communicating data stories in meaningful and actionable manners.


This position requires a four-hour overlap with 8am - 5pm ET.


This job is expired. Please use the search form to find active jobs or submit your resume.


Post a resume

Similar jobs

We Need AWS/Cloud Networking SME. Position: GCP Principal Networking Engineers/Architect Location: Mexico / USA / Argentina / Brazil / Canada (100% Remote) – Customer is Based out of South America Duration: 6+ Months Fluently SPANISH speaking and writing Skills needed:...
GCP. Cloud Networking
Other
Canada
Hiring from: U.S. / Canada, North America, South America
At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open-source projects — Elasticsearch, Kibana, Beats, and Logstash — we help people around the world...
Other
United States
Hiring from: Anywhere
Terraform Labs
Full time
Terra's mission is to set money free. We believe that money is a form of technology that can be innovated on. As a pioneer in monetary technology, we build open infrastructure, rethink monetary policy, and create revolutionary applications that sets...
python blockchain Quantitative Finance
Other
South Korea
Hiring from: Anywhere
MicroTasks.io

Share you skills and get paid!

All from the comfort of your home.

LEARN MORE