Customer Segmentation (Python)
Manager · Data Scientist · Hybrid · Boise
- Company
- Specialty insurer for travel · 51–200 employeesCL-36824 · based in Boise
- Where
- Hybrid · Boise
- Format
- Task bundle
- Time needed
- 10–20 h a month
- Start
- Starts within 2 weeks
- Level
- Manager · 7-12 years
- When you work
- Flexible hours, async1 h a week overlap with MT
321 tasks of this type completed on Deftridge
About this task
This specialty insurer for travel (51–200 employees) is looking for a manager Data Scientist for a monthly bundle of recurring tasks, 10–20 h a month. Groups of customers that behave alike and can be acted on.
A named list of recurring items keeps the month predictable for both sides. It is an insurer, so accuracy and an audit trail come before speed.
The team sits in Boise. Everything can be done remotely; an occasional visit is welcome and never required for the first month. You choose your hours; nothing is scheduled except an occasional short call. About 1 hour a week should overlap with the team's day (MT).
What you deliver
- Segment 200 thousand customers into six groups with a profile and a recommended action for each.
- The monthly list of items completed, each with a link to the result
- A month-end summary with hours used against the cap
- A running log of open questions, reviewed at the start of each week
What a month looks like
- Start of month: the company shares the items and the priorities
- Mid-month: progress check of 15 minutes
- Month end: hours used against the cap, results and open items
Duration: 8 weeks, with a monthly hours cap. Accepted after the walkthrough. Edits requested within three working days are part of the price.
Tools
Who fits
- 7-12 years of hands-on work as a Data Scientist, or the equivalent mix of roles
- Comfortable working in Python and SQL
- Your own work history stays private; the company sees a first name, your field and a rate
Nice to have
- Comfortable explaining numbers or decisions to a non-specialist reader
- Experience in a similar industry
Not included
- Managing other contractors or employees
- Travel or work at a fixed location
- On-call availability outside the agreed window
How you get paid
- The company prepays Deftridge before your first hour, so payment does not depend on a late invoice.
- Deftridge pays you in USD after the company confirms the hours or the deliverable. The payment date is written in your task agreement.
- You work as an independent contractor: you report your own income, and your recruiter sends the statements your accountant needs.
- You never chase the company. Questions about money go to Deftridge.
What happens after you say you're interested
- Within one working dayA recruiter writes to you to confirm your hours and the rate you want.
- You agree the rateYou and the recruiter fix an exact rate inside the company's range. You decide whether to go ahead.
- With your written OKThe company sees the anonymous profile below. Most companies answer within three working days.
- StartYou sign the task agreement and the company's confidentiality terms through Deftridge, and begin on the date above.
What the company sees about you
First name, field, experience, tools and the hours you offer. Not your surname, your employer or your contact details.
- Experience
- 7-12 years in data & analytics
- Tools
- Python, SQL
- Offers
- 15 hours a month, weekday evenings
- Rate
- $156 an hour, agreed with the recruiter
How this rate compares
The midpoint of this range, $156 an hour, is below the median manager Data Scientist rate in Idaho ($160). The shaded band is the 25th to 75th percentile of the market.
All Data Scientist jobs in United States · Data Scientist rates in Idaho · Data & Analytics jobs
Questions about pay and privacy
The rules are the same for every task. Pricing explains the 15% fee, prepayment and when you are paid; How it works covers matching, what the company sees and side work next to a job.
CL-36824 is the Deftridge code for this company. Its name is shared only after you agree to an introduction, and you decide whether to go ahead.