Data Engineer- Seattle - 1 yr W2 contract

Role Overview: 

As a Data Analytics Consultant, you will leverage your understanding of complex data analysis and modeling to ensure Avanade project teams and clients can successfully extract value from their data. Working under the direction of your team members, this role supports hypothesis generation and testing, exploratory analysis, data preparation and ingestion for statistical modelling/machine learning/deep learning, building machine learning or deep learning models and model interpretations. You will be expected to make prescriptive recommendations for how to use the data to guide impactful business-decision making. Additionally, you will support junior team members when applicable. 

Key Role Responsibilities: 

Day-to-day you will: 

 - Build solutions for Avanade's clients driven through data analysis that may include complex, high-dimensional datasets, both structured and unstructured  
- Collect, aggregate, and analyze data from multiple internal and external sources to drive insights into business performance.  
- Apply working expertise of statistics, machine learning, programming, data ingestion, data modeling, simulation, deep learning and/or advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to better business decision-making  
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data  
- Communicate data-driven insights and deliver action plans that steer business strategy and decision-making for one or more business segments.  

- Work with Avanade's and client teams to translate prototypes into new products, services, and features and provide guidelines for large-scale implementations  - Provide input and guidance on data visualization techniques and opportunities  
- Be recognized as advanced individual contributor and work with minimal supervision with high latitude for independent judgement  
- Identify new analytics tools and techniques and lead development and deployment of infrastructure for generating and analyzing information.  
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data  
- Communicate data-driven insights and deliver action plans that steer business strategy and decision-making for one or more business segments.  

Key Role Skill & Capability Requirements: 

Your technical/non-technical skills include:  

- Proficient with necessary analytics tools (e.g., R, Python, SQL, R, SAS, SPSS, MATLAB, Power BI, MicroStrategy, and Tableau)
--Strong knowledge of Python and the library ecosystem is preferred 
- Demonstrable professional experience with data mining, analysis, modeling, of large scale, complex data sets  
- Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), deep learning and optimization algorithms  
- Proficiency in at least one high level programming languages such (i.e. S, C++, Python, Julia, etc)  
- Proficiency in statistical modeling tools  
- Able to explain complex analytical methodologies and concepts in non-technical language  
- Experience with NoSQL databases and tools (i.e. Hadoop, Hive Spark, etc.)  
- Exceptional written and verbal communication and presentation skills 

Preferred Certifications: 

Microsoft Professional Program for Data Science 

Preferred Education Background: 

You likely possess a Bachelor's/Master’s/ PHD degree in Applied Mathematics, Statistics, Analytics, Operations Research, Economics/Econometrics, Engineering or another relevant quantitative field. An equivalent combination of education and experience will be considered.

Preferred Years of Work Experience: 

You likely have about 3-5+ years' relevant professional experience.