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Data Scientist

Portland, OR, United States

Title: Data Scientist

Location: Portland, OR

Duration: 2 year contract

General Job Duties:

Use predictive modeling, machine learning, and other advanced analysis to increase and optimize customer experiences, revenue generation, prospect targeting and other business outcomes.

Actively work with internal and external customers to analyze business data needs, gather and document business and data architecture requirements

Develop data science pipelines with scalable endpoints and full orchestration/automation

Develop data and model pipelines with tools like AzureML SDK, Azure Data factory, Databricks, Spark or related technologies

Create automated anomaly detection systems and monitor its performance and model drift

Ensure highest levels of data accessibility, security, and quality at all stages

Develop rapid prototype proof of concept solutions for viability studies

Implement model performance analysis monitoring and automate model retraining

Analyze large amounts of data to discover trends and patterns

Effectively communicate complex ideas, results to both technical and business/executive audiences

Perform ad-hoc analysis and present results in a clear and concise format

Work within an Agile team in a dynamic, fast-moving, collaborative environment

Keep current on latest data science technologies and products, including hands on evaluations and in-depth research

Basic Qualifications (Required Skills & Experience) Bachelor's degree with focus in Technical or design field (Computer Science, Software Design, Data Science) from an accredited college/university and +6 years of related experience OR applicable Master's degree +2 years of experience

Experience with numerous machine learning/deep learning models such as neural networks, classifiers, anomaly detection

Experience with Natural language processing

Experience with methods of business validation of ML models

Experience with statistical modeling and methods

Experience developing end-to-end model prediction pipelines on live data

Experience deploying and managing large cloud compute workloads for optimal speed and cost efficiency

Experience with columnar databases such as Azure Data Explorer or related technologies

Experience with Spark and related technologies

Experience on major cloud analytics platforms AWS, Google or Azure (Azure preferred)

Strong analytical, conceptual, and problem-solving abilities.

Programing knowledge in Python or R with experience in EDA, data wrangling and model development

You thrive in high-profile projects and in ambiguous situations

Exceptional collaboration and problem solving skills

Excellent verbal and written English communication skills

Desired Qualifications and Skills: Master's degree or higher in related field

Experience with Databricks or Jupitor

Experience with large data sets and distributed computing a plus

GitHub or similar collaborative dev hub a plus

Experience in automotive or trucking

Required Skills : 6 years of data science experience, or 2 years with a Masters degree, experience w/ Natural language processing, Neural networks, classifiers, anomaly detection, experience developing end to end model prediction pipelines on live data, deploy/manage large cloud compute workloads for optimal speed & cost efficiency, programming knowledge in python or R w/ experience in EDA, data wrangling and model development

Basic Qualification :

Additional Skills :

Background Check :Yes

Drug Screen :Yes

Notes :

Selling points for candidate :

Project Verification Info :

Candidate must be your W2 Employee :Yes

Exclusive to Apex :No

Face to face interview required :No

Candidate must be local :Yes

Candidate must be authorized to work without sponsorship ::No

Interview times set : :No

Type of project :Other Project Type

Master Job Title :Data Scientist

Branch Code :Portland

Apply

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