Data Scientist
[portland, Or, 97210], Oregon
Employer: Saxon Global
Industry:
Salary: Competitive
Job type: Part-Time
Title: Data Scientist
Location: Portland, OR
Duration: 2 year contract
General Job Duties:
Basic Qualifications (Required Skills & Experience)
Desired Qualifications and Skills:
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
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
Created: 2024-04-30
Reference: SG - 76961
Country: United States
State: Oregon
City: [portland, Or, 97210]
Similar jobs:
-
Data Scientist
Saxon Global in Portland, Oregon -
Senior Data Scientist
Urban League of Portland in Portland, Oregon -
Senior NLP Data Scientist
Lawrence Harvey in Remote, Oregon -
Principle Data Scientist/ Architect
Insight Global in Beaverton, Oregon -
Data Scientist
Saxon Global in Portland, Oregon