Data Scientist

I have an opportunity for Data Scientist Seattle WA Hybrid and I am looking for a candidate who can join Immediately if you are interested reply to me with your updated resume or if you could refer someone I would really appreciate it.

Location : Seattle WA Hybrid 2 to 3 Days a week

Duration : 12 Months Contract

Experience with Retail and global supply chain enterprises.

Principal Duties and Responsibilities:

Develop and Deploy Predictive Models:
Build tune and maintain machine learning models in data bricks using python r or java.
Design and implement ML solutions tailored to specific use cases and data characteristics.

Data Modelling and Analysis:
Review and revise data models fed from upstream sources such as PostgreSQL MongoDB and Kafka.
Identify and correct for data quality issues in data large datasets.
Analyse results to ensure findings are statically significant.

ML Model Optimization and Maintenance:
Continuously improve model performance and accuracy.
Monitor and maintain deployed models to ensure effectiveness and relevance.

Collaboration and Crossfunctional Engagement:
Work closely with product managers business analysts architects and other stakeholders to understand business requirements and translate them into technical solutions
Collaborate with software engineers to integrate models into production systems.

Qualifications Skills Experience and Personal Requirements:

Bachelors or masters degree in data science Computer Science Statistics or a related field.

Proven handson experience in creating tuning and maintaining machine learning models in enterprise environments. (Required)

Proficiency in Python and R with experience using Databricks for model development.

Deep understanding of various machine learning modelling methods and their applications.

Experience with data modelling techniques and tools.

Experience with MongoDB Snowflake Postgres AWS Cloud and PowerBI.

Strong analytical and problemsolving skills.

Excellent communication and teamwork abilities.

Ability to manage multiple projects and meet deadlines in a fastpaced environment.