• A PROUD HISTORY OF OVER 75 YEARS

• FY22 REVENUE 10.4 BN USD

• WE'RE PRESENT IN 66 COUNTRIES

• OVER 1,400 ACTIVE GLOBAL CLIENTS

Role

Product Engineering Data Sciences Architect

Key Skills

Location

Seattle, WA ( remote .. need to support in PST hours )

Experience

Role Description

Collaborate with cross-functional teams to design, develop, and implement data-driven solutions that enhance the product offerings.

Major responsibility:

Collaborate with product design and engineering teams to understand and address data-related needs.

Develop and maintain data processing systems and pipelines to ensure efficient data flow and accessibility.

Design and implement innovative statistical models and data science algorithms for data analysis.

Analyze high-volume, unstructured data sources to build structured models for product quality assessment.

Create visualizations and dashboards to communicate data insights to stakeholders.

Ensure data integrity and security throughout the data lifecycle.

Stay current with industry trends and advancements in data science and engineering.

Good to have:

Programming Languages: Proficiency in languages such as Python, R, Java, and SQL is essential for data manipulation, analysis, and building data pipelines

Statistical Analysis: Ability to apply statistical methods to analyse and interpret complex data sets

Optimization: Understanding of different optimization techniques and familiarity with Gurobi

Data Visualization: Skills in using BI tools like Tableau, Power BI, or similar to create insightful visualizations and dashboards

Data Processing Frameworks: Familiarity with big data technologies like Apache Spark, Hadoop, and Kafka is crucial for handling large datasets

ETL Processes: Knowledge of Extract, Transform, Load (ETL) tools and processes to ensure efficient data flow and integration

Familiarity with machine learning libraries and tools such as TensorFlow, Scikit-learn, and PyTorch for developing predictive models

Qualifications

• Bachelor's Degree

Expected annual pay for this role ranges from $163,000 to $227,000. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

"Wipro is committed to creating an accessible, supportive, and reasonable accommodations to all our applicates with disabilities throughout the recruitment and selection process. Should an applicant require accommodation or a special request due to a disability, Wipro encourages individuals to make their needs known in advance. Requests for accommodation will be considered on an individual basis and in accordance with the requirements of the applicable provincial laws. Wipro is dedicated to ensuring equal opportunities and a barrier-free recruitment process and employment for all qualified candidates".

Azure Cloud Data Platform Engineering