Role Overview
As a Data Scientist, you will leverage your understanding of complex data analysis and modeling to assist project teams in extracting value from their data. Working under the direction of your team members, this role supports question formulation, design, research and development, implementation, and testing.

Day-to-day You Will
Key Role Responsibilities:

Support project teams in developing solutions for Avanade’s clients driven by exploratory data analysis
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to better business decision making
Conduct data analyses tests in-line with agreed-upon strategies
Communicate analysis results and recommendations to team members and clients
Provide input and guidance on data visualization techniques and opportunities

Qualifications
Key Role Skill & Capability Requirements:

A Master Degree in a quantitative field (Statistics, Mathematics, Operations Research, Economics) or a degree in Computer Science
3-5 years of experience in working with data sets to build statistical models
Excellent understanding of machine learning techniques and algorithms such as (Logistic Regression, Decision Trees, Random Forrest, Support Vector Machines, Clustering)
Experience with common data science languages and libraries such as R, Python (NumPy, Pandas, Scikit), Weka, MatLab, etc.
Skills in applied statistics skills, such as distributions, statistical testing etc.
Expertise on machine learning methodology (data preparation, feature engineering, error metrics, model selection and validation)
Proficiency in using query languages such as SQL and/or HiveQL
Great communication skills
Good to have

Experience with NoSQL databases such as MongoDB, Cassandra, HBase
Experience with distributed computing tools like the Hadoop stack, Spark, Pig, Hive etc.
Software development skills in one or more high level languages (C#/C/C++/Java/.Net), one or more scripting languages (Perl/Shell)
Experience with AWS or Azure
Deep Learning frameworks (TensorFlow, Caffe, CNTK, Torch etc.)