# Data Scientist V-6355 at itD Tech

> Remote · United States · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Aitd%3A4465694009 (read 2026-11-10).

## Facts (observed)

- Company: [itD Tech](https://alderhq.app/companies/itd-tech)
- Location text: San Jose; United States
- Where it can be done from (inferred): Remote · United States (evidence: "Location: San Jose; United States")
- Posted: 2026-10-23 (18 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/itd/jobs/4465694009
- Skills listed (inferred): Python, SQL

## Pay and sponsorship

- Posted pay: $125k per year (from the description)
- Market band for similar posted roles (SF Bay Area, n 64): p25 $160k, median $211k, p75 $302k

## Description (the employer's text)

### Data Scientist V-6355

itD is seeking a Data Scientist V to drive data-informed decision-making by translating large-scale datasets into actionable insights, defining business objectives and success metrics, and developing analytical models that identify trends, uncover opportunities, and guide strategic decisions. The ideal candidate will bring 10+ years of industry experience in quantitative analysis, advanced SQL, Python, and statistical modeling, with a proven ability to deliver meaningful insights, communicate findings to diverse audiences, and independently drive analytical initiatives.

Location: Hybrid — Menlo Park, CA (onsite 3 days per week)

Contract Duration: 6 months, with potential for extension

Pay Rate: Up to $60per hour, depending on experience.

We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more.

Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

### Responsibilities

- Conduct exploratory data analysis (EDA) to identify trends, patterns, correlations, root causes of metric changes, and opportunities for business improvement using large-scale datasets.
- Define business objectives and success metrics in partnership with stakeholders, establishing measurable objectives and key results (OKRs) and tracking progress against short- and long-term goals.
- Develop and optimize advanced SQL queries and analytical workflows to extract, transform, analyze, and interpret complex datasets, enabling accurate and efficient data-driven decision-making.
- Build predictive and forecasting models using statistical and machine learning techniques, including regression, clustering, and classification, and evaluate model performance to generate actionable recommendations.
- Design high-performance dashboards and visualizations that communicate key metrics, provide clear narratives, and enable stakeholders to explore data and monitor business performance.
- Translate analytical findings into compelling data stories by presenting insights, prioritized recommendations, and estimated business impact to both technical and non-technical audiences.
- Develop research plans and conduct experiments by formulating hypotheses, selecting appropriate analytical methods, and evaluating results to answer business questions and identify new opportunities.
### Internal Responsibilities

- Attend regular internal practice community meetings.
- Collaborate with your itD practice team on industry thought leadership.
- Complete client case studies and learning materials, including blogs and media content.
- Build materials that contribute to the Digital Transformation practice.
- Attend internal itD networking events, both in person and virtually.
- Work with leadership on career fast-track opportunities.
### Required Qualifications and Skills

- 10+ years of industry experience solving analytical problems using quantitative methods and data-driven approaches.
- Advanced SQL proficiency, including complex querying, joins, aggregations, filtering, grouping, and analytical functions.
- Python proficiency for data analysis, scripting, and analytical problem-solving.
- Demonstrated experience conducting exploratory data analysis, defining and monitoring key metrics, investigating metric changes, and identifying business opportunities.
- Strong understanding of statistical analysis, quantitative methods, and data interpretation.
- Experience collaborating with stakeholders to define business objectives, OKRs, and measurable success metrics.
- Ability to independently analyze complex datasets and develop actionable, evidence-based recommendations.
- Strong communication skills, including the ability to explain analytical approaches and present complex findings to technical and non-technical audiences.
### Preferred Qualifications and Skills

- Experience designing interactive dashboards, data visualizations, and high-performance analytical reports.
- Experience developing predictive and forecasting models using regression, clustering, classification, or other statistical techniques.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aitd%3A4465694009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.