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Data Scientist

3 months ago

Oakland, United States World Wide Technology Full time

Data Scientist

Location: Remote, but needs to be local to Oakland, CA

Duration: 6 Months +

Qualifications for Data Scientist

Strong problem solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative fi eld, and is familiar with the following software tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. Knowledge and experience in statistical and data mining techniques: GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, , etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. Experience with distributed data computing tools: Map Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Top Daily Responsibilities:

Support Data-Science and other analytics as needed.

Develop SQL queries and data sets

Develop business and client facing reports


Skills a Top Candidate Should Have:

Knowledge and experience in statistical and datamining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

Experience using web services: Redshift, S3, Spark, Digital Ocean, etc.

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

Experience with distributed data computing tools: MapReduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

Experience visualizing presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.


Desired Skills:

Strong problem-solving skills with an emphasis on product development.

Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.

Experience working with and creating data architectures.

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) with applications.

Excellent written and verbal communication skills for coordinating across teams.

A drive to learn and master new technologies and techniques.

We’re looking for someone with experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative fi eld, and is familiar with software.