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dataroles

Data Scientist

Mindlance Open · verified Oct 24, 2026
On-site San Francisco Mid-level Data Science

At a glance

Mid-level Data Science role at Mindlance. San Francisco · no salary stated · we estimate $172,375–$223,788.

Estimated pay

Mindlance has not published a salary for this role. The figure below is our estimate, not theirs.

$172,375 – $223,788
What the middle half of mid-level data science roles in San Francisco paid, among postings that did state a salary.
Worked out from 32 postings that stated pay, median $207,750. Last updated Oct 24, 2026.
RoleData Science
SeniorityMid-level
LocationSan Francisco
WorkplaceOn-site
PostedNov 14, 2016 · 9y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build marketing prediction models that help improve the performance of advertiser campaigns
  • Turn business questions into data-mining tasks, then apply clustering, classification and association methods
  • Use web analytics and data-mining approaches on large datasets
  • Develop machine-learning models to classify web pages and content, detect fraud and rank content quality

What you bring

  • Hands-on experience with Gurobi Optimization, which the listing identifies as a must
  • Experience with advanced analytics such as econometric methods, multivariate statistics, experimental design or text analytics

Who this fits

This mid-level role suits a data scientist focused on marketing models, web analytics and applied machine learning. The position is onsite in San Francisco.

From the employer

Mindlance is a national recruiting company which partners with many of the leading employers across the country. Feel free to check us out at http://www.mindlance.com.

Gurobi Optimization is must (Highly desired - at least hands on experience will work)

-Developing predictive models in the area of marketing


-Understanding business problems and translating it into data mining problems


-Applying techniques such as clustering, classification and association


-Web analytics, Data mining techniques application for large data.


-The key personnel shall also demonstrate experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics.


-Predictive models to improve advertiser campaign performance


-Machine learning models for categorizing web pages and content


-Fraud detection & automated ranking content quality

Gurobi Optimization

It you or anyone from your network is looking for a change and interested to know more about this role; do call me on 732-979-2275 or send an email with your updated resume on raghuv1@mindlance(dot)com

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.