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Data Scientist

Company Description:

Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Backed by Goldman Sachs and Everstone Capital, Infostretch works with both large enterprises and emerging innovators -- putting digital to work to enable new products and business models, engage with customers in new ways, and create sustainable competitive differentiation.

Job Description :
Infostretch is seeking a Data Scientist with a minimum of 8+ years of experience based in our Pleasanton CA location.

Please note that to start the role it will be remote for 3 - 6 months but once this Covid19 is behind us - it will be an in-house role.


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.
We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical
models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative
field, 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, DigitalOcean, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, 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

Education Qualification:

B.S. in computer science, software engineering, computer engineering, electrical engineering, or related area of study

Disclaimer:
If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE). You can read our job applicant privacy policy here.

Apply Online Print

Job Code: IS-SCC2021031601

Category: Engineering

Job Type: Contractor

Location: Pleasanton, CA, USA

Open Positions: 1

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