Sr Data Scientist
At a glance
Senior Data Science role at Fabergent. San Ramon · full-time · no salary stated · we estimate $150,000–$205,000 across the United States.
Fabergent has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build predictive models using supervised and unsupervised learning, boosting and ensemble techniques
- Combine, standardize and prepare data, then develop algorithms that turn it into useful insights
- Explore large, inconsistent datasets to find patterns through empirical analysis
- Connect third-party APIs and work with cloud computing and Hadoop tools
What you bring
- A master’s degree in applied statistics, economics, computer science or another listed field
- At least one year in advanced analytics, model building, statistical modeling, optimization or machine learning
- Strong computational skills backed by expertise in statistics, mathematics or algorithms
- Hands-on ability with a listed data language or tool, plus experience using SQL or another listed data technology
Who this fits
This senior individual-contributor role suits someone who enjoys empirical research and making sense of varied, imperfect datasets. You’ll work collaboratively and are expected to help bring products to market. The role is onsite in San Ramon.
From the employer
Our client is looking for a senior data scientist for our first-of-its-kind sales analytics platform, which combines a proprietary, active-learning network with applications that are ready to use, data backed, and built on predictive analyses.
Our ideal candidate will have a strong computational background (complimented by Statistics/Math/Algorithmic expertise), a healthy portfolio of dealing with Big Data, a passion for empirical research, a solid understanding of machine learning algorithms, and will absolutely love finding meaning in multiple imperfect, mixed, varied, and inconsistent data sets.
You must be a team player who will thrive in a collaborative environment, and you must be driven to create innovative, world-class products and get them to market.
Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master’s degree required).
1+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods.
Ability to aggregate, normalize and process data by authoring predictive algorithms to synthesize and present actionable data insights.
Technical mastery in one or more of the following languages/tools to wrangle and understand data: Python (NumPy, SciPy, scikit-learn), R, Matlab, Spotfire, Tableau.
Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, and machine learning suites such as Mahout, Weka, and RapidMiner.
Experience with cloud computing and Hadoop (MapReduce, PIG, HIVE)
Experience with third-party API integration.
Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master’s degree required).
1+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods.
All your information will be kept confidential according to EEO guidelines.
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