or apply directly on Awardco's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 16 days Awardco's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 0% of Awardco's roles list one
- Ghost-job risk at Awardco
- high 5 stale, 1 reposted of 12 open
- Hiring momentum
- 22 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Awardco's own greenhouse board since 2026-08-03. Full hiring picture for Awardco.
About this role
As a Data Scientist at Awardco, you will collaborate with Go-to-Market teams to influence customer acquisition and retention strategies. Your role involves analyzing customer behavior, designing experiments, building predictive models, and partnering with BI and Data Engineering teams to enhance data infrastructure. This position requires a strong analytical mindset and the ability to tackle ambiguous problems in a fast-paced environment.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Awardco as an employer.
What you need
- Bachelor's or Master's degree in Statistics, Computer Science, Economics, Data Science, or another quantitative field
- 3–5 years of applied data science experience
- Strong Python proficiency and experience with common data science libraries (e.g. pandas, scikit-learn, statsmodels)
- Familiarity with designing and analyzing A/B tests, with working knowledge of causal inference methods
- Familiarity with data visualization libraries (e.g. matplotlib, seaborn, plotly) and tools (e.g. Streamlit, Tableau, Looker)
- Experience building and deploying machine learning models
Nice to have
- Experience in B2B SaaS, customer success, or go-to-market analytics
- Experience working with modern ML Ops tools, such as Snowflake or Databricks ML features
- Experience working with orchestration tools such as Airflow or Orchestra
- Experience on a small or early-stage data science team
Worth weighing
- No salary listed
- High-ownership role with a focus on ambiguous problems
- Fast-paced data environment may require adaptability
Summarised from Awardco's posting. Read the full original.
Listed by Awardco on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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