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Oak National Academy · Remote · UK
GitLab · Remote · Canada or USA
Dropbox · Remote · USA
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Westernacher Consulting · Remote · India
DataCamp · Remote · Belgium +3 more
DataCamp · Remote · Belgium +3 more
Ohio State University · Remote · USA
Grafana Labs · Remote · USA
Fingerprint · Remote · Worldwide
Samsara · Remote · USA
Clover Health · Remote · USA
Mercury · Remote · Canada or USA
DigitalOcean · Remote · California, USA
InMarket · Remote · USA
InMarket · Remote · USA
Zip Co · Remote · USA
Oura · Remote · USA
AlertMedia · Remote · Mexico City, Mexico
ZoomInfo · Remote · Massachusetts +2 more
Monzo · Remote · UK
DataCamp · Remote · Belgium +3 more
DataCamp · Remote · Belgium +3 more
BBC · Hybrid · Salford, UK
The Aerospace Corporation · Hybrid · Chantilly, VA, USA
The Aerospace Corporation · Hybrid · El Segundo, CA, USA
Hostinger · Hybrid · Vilnius or Kaunas, Kaunas County
University of Chicago · Hybrid · Chicago, IL, USA
SIXT · Hybrid · Pullach, Bavaria, Germany
Ignitis Group · Hybrid · Vilnius, Lithuania
Prewave · Hybrid · Vienna, Austria
Lely · Hybrid · Maassluis, Netherlands
EBANX · Onsite · Curitiba, State of Paraná, Brazil
University of Surrey · Onsite · Gandhinagar, Gujarat, India
Klaviyo · Hybrid · Boston, MA, USA
Merck · Hybrid · Bogotá, Colombia
Merck · Onsite · South San Francisco, CA, USA
The Aerospace Corporation · Onsite · Chantilly, VA +2 more
University of Pennsylvania · Hybrid · Philadelphia, PA, USA
Emergent · Onsite · Bengaluru, India
Sanofi · Hybrid · Waltham, MA, USA
University of Pennsylvania · Hybrid · Philadelphia, PA, USA
Netflix · Hybrid · Los Angeles, CA, USA
Auto Trader · Hybrid · Manchester, UK
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Employers hiring for Data Science on this page include Merck, DataCamp, and The Aerospace Corporation. Data Science roles appear most frequently in engineering, data, and platform teams at companies that offer a 4-day week or another flexible schedule. Each listing indicates the seniority level and whether Data Science is a primary requirement or one of several preferred skills — expand any role above to see the full stack and responsibilities.
Data Science roles on this page span seniority levels, from entry-level and mid-level through senior, lead, and staff or principal positions. Filter by level in the sidebar to narrow the list above to the ones that fit you.
Lead with measurable outcomes over time spent — Data Science hiring managers at companies that run 4-day weeks or flexible schedules care about delivered value, not hours worked. Highlight projects where you shipped at a steady cadence, collaborated asynchronously, or reduced engineering toil through automation or tooling. Include concrete metrics (latency improvements, adoption numbers, cost reductions) rather than vague duty descriptions. Expand listings above to see the exact framing each employer uses in their job descriptions.
Pay depends on the role, seniority, location, and employer — not on the schedule alone. Data Science roles in tech and data typically command premium rates, and specific ranges depend on seniority and sub-specialty (e.g. backend vs frontend, infra vs ML). Individual listings above show exact bands where the employer publishes them.
Depends on the role, but Data Science candidates who also demonstrate async communication, clean documentation, and cross-functional collaboration are typically strong fits for employers that run 4-day weeks or flexible schedules — those teams rely on written-first communication and high-context handoffs. Technical-adjacent skills vary by stack. Browse the top skills shown in the sidebar to see which tags co-occur most often with Data Science on current listings.
Work-life balance
85+ excellent, 70+ great, 55+ good. How we score
Schedule
Work-life balance
85+ excellent, 70+ great, 55+ good. How we score
Schedule
