Sr Data Scientist

Fabergent; San Ramon (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading analytics firm in San Ramon is seeking a Senior Data Scientist to develop cutting-edge predictive analytics on their innovative sales platform. The ideal candidate will possess a Master's degree and have experience with machine learning algorithms and data analysis. Responsibilities include aggregating and normalizing data, developing predictive models, and collaborating within a team to bring products to market. Strong proficiency in Python, R, and SQL is essential for success in this role.

Qualifications

• 1+ year experience in advanced analytics and model building.
• Experience with machine learning algorithms including supervised and unsupervised learning.
• Ability to process data and present actionable insights.

Responsibilities

• Develop predictive algorithms to synthesize data.
• Collaborate in a team environment to create innovative products.
• Work with third-party API integration and cloud computing.

Skills

Statistical modeling

Machine learning algorithms

Data analysis

Big Data

Predictive analytics

Education

Master’s degree in Applied Statistics, Economics, Computer Science, or Operations Research

Tools

Python (NumPy, SciPy, scikit-learn)

R

SQL

Hadoop

Tableau

Job description

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.

Qualifications

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.

Additional Information

All your information will be kept confidential according to EEO guidelines.