Why this grade
This listing scored 79/100, which is a B. It lost the most ground on remote clarity.
- Pay transparency 25 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Mid level Full Time
Location: Milpitas, CA (This position is eligible for 100% remote work, from anywhere in the United States, reporting to the company headquarters at 1601 McCarthy Blvd, Suite R-5, Milpitas, CA 95035)
Duration: Full-time, regular employment: 40 hrs./wk. (9:00 AM to 5:00 PM)
Rate: at least $168,917 per year.
**To Apply: Please reference Job No. 793312 when sending resumes. Please mail resumes to: HR, FocusKPI, Inc. at 1601 McCarthy Blvd., Suite R-5, Milpitas, CA 95035.**
Job Duties:
- Build and implement artificial intelligence and machine learning models and software frameworks such as predictive models, multi-touch attribution models, uplift models, personalization models, reinforcement learning models, and natural language processing tools to solve complex problems and drive business decisions.
- Utilize software languages and frameworks such as Python, C++, SQL, BigQuery, PyTorch, etc.
- Build data pipelines for model development, including gathering and building datasets, cleaning messy data, identifying assumptions, and designing feedback loops on data needs with a focus on big data.
- Build business intelligence dashboards using software frameworks such as Tableau for internal leaders and stakeholders to track key performance indicators and make strategic decisions.
- Partner with cross-functional teams to streamline and maintain data science solutions.
- Assist senior strategy analysts and senior data scientists in the project management of strategic initiatives.
- Work in an agile, collaborative environment, partnering with other data scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors of various machine learning and artificial intelligence models.
- Write and develop comprehensive and accurate model development documentation. It also involves creating presentations and financial models to communicate new strategic ideas for internal departments.
- Explain complex modeling approaches in simple terms to technical as well as non-technical stakeholders and develop compelling narratives that connect modeling results with business problems.
- Solve analytical problems and effectively communicate methodologies and results both in writing and verbally.
Requirements:
Position requires, at minimum, a U.S. Master’s degree in Data Science, Computer Science, Machine Learning, Robotics & Autonomous Systems, Applied Mathematics, or a related quantitative field.
**To Apply: Please reference Job No. 793312 when sending resumes. Please mail resumes to: HR, FocusKPI, Inc. at 1601 McCarthy Blvd., Suite R-5, Milpitas, CA 95035.**
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 04 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.