URGENT NEED - Data Scientist - Seattle, WA - HYBRID

Navtech
Washington, US
HybridCareer-pivot friendly

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • deploying predictive models
  • improving model performance
  • collaborating with stakeholders
Typical background
Master's degree in data science or related field3+ years of experience in enterprise environments

Transferable backgrounds

  • Coming from data analyst
  • Coming from machine learning engineer

Skills & requirements

Required

Machine LearningData ModelingData AnalysisModel DeploymentCollaboration

Preferred

Retail Industry ExperienceGlobal Supply Chain Knowledge

Stack & domain

PythonRJavaDatabricksPostgreSQLMongoDBSnowflakeAws CloudPowerbiCommunicationTeamworkProblem-solvingProject ManagementDeadline ManagementData ScienceMachine LearningData ModelingData QualityStatistical AnalysisProduct DesignGlobal Supply Chain

About the role

Original posting from Navtech

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.

Position : Data Scientist

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 Cross-functional 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:

  • Bachelor's or master's degree in data science, Computer Science, Statistics, or a related field.
  • Proven hands-on 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 problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Ability to manage multiple projects and meet deadlines in a fast-paced environment.

Regards,

Alex . K

NAVTECH INC

P : (224) 348-1340 E : Alex@navtechusa.com

1600 Golf Road. Suite 1200, Rolling Meadows, IL 60008

www.Navtechusa.com E-Verified Company.

Source: Navtech careers

Similar roles