We have an immediate opportunity for a data scientist specializing in machine learning to join our dynamic and growing technology team. This role involves developing and implementing machine learning algorithms, primarily for food classification via machine vision, managing large datasets, optimizing machine vision models, and driving innovation for AI-based food waste prevention solutions. The role is part of our machine vision team and will report to our VP of Product.

Data Scientist 3 $68.00/hr Onsite: Beaverton. OR 6 month assignment Designs, develops and programs methods, processes, and systems to consolidate and analyze structured/unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Builds "products" for Analysis. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Typically requires a Bachelors Degree and minimum of 5 years directly relevant work experience Note: One of the following alternatives may be accepted: PhD or Law + 3 yrs; Masters + 4 yrs; Associates degree + 6 yrs; High School + 7 yrs.<ul> <li> Lead to the accomplishment of key goals across consumer and commercial analytics functions.</li> <li> Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations.</li> <li> Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language.</li> <li> Validate key performance indicators and build queries to quantitatively measure business performance.</li> <li> Communicate with cross-functional teams to understand the business cause of data anomalies and outliers.</li> <li> Develop data governance standards from data ingestion to product dictionaries and documentation.</li> <li> Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax.</li> <li> Organize and transform information into comprehensible structures.</li> <li> Use data to predict trends and perform statistical analysis.</li> <li> Use data mining to extract information from data sets and identify correlations and patterns.</li> <li> Monitor data quality and remove corrupt data.</li> <li> Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing.</li> <li> Improve existing processes through automation and efficient workflows.</li> <li> Build and deliver scalable data and analytics solutions.</li> <li> Work independently and take initiative to identify, explore and solve problems.</li> <li> Design and build innovative data and analytics solutions to support key decisions.</li> <li> Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.</li> <li> Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.</li> </ul> ll listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities. Benefits:(employee contribution) •Health insurance •Health savings account •Dental insurance •Vision insurance •Flexible spending accounts •Life insurance •Retirement plan

Title: Data Scientist Location: Beaverton, OR Duration: 6 months contract NIKE, Inc. is more than just a leading athletic brand - we are innovators and visionaries focused on unleashing human potential. Our culture thrives by embracing diversity and rewarding imagination. We are constantly evolving and seeking achievers, leaders and dreamers who can grow with us. WHAT YOU WILL WORK ON <ul> <li>Design, develop and program methods, processes and systems to analyze structured and unstructured "big data" sources to generate insights and solutions </li><li>Build "products" and tools for data analysis to address business questions and issues </li><li>Develop algorithms and automated processes to integrate, cleanse and evaluate large datasets </li><li>Identify meaningful insights from data analysis and experiments and effectively communicate findings </li><li>Work with stakeholders to understand requirements, develop sustainable data solutions, and provide data-driven insights and recommendations </li></ul>WHAT YOU BRING <ul> <li>Bachelors Degree in a quantitative field plus 5+ years of directly relevant work experience </li><li>Expertise in SQL, Python, R or other data analysis programming languages </li><li>Experience with statistical analysis, data mining, machine learning techniques </li><li>Ability to communicate complex data concepts clearly to non-technical stakeholders </li><li>Passion for translating data into actionable business insights </li></ul> <ul> <li>Published on 25 Nov 2024, 2:21 PM </li> </ul>

Are you passionate about coding or technology and ready to make your mark in tech? For more than 14 years, SynergisticIT has been helping aspiring developers like you excel in the tech industry. We focus on equipping you with the skills and experience needed to not only secure a job but to thrive in your career! Why Partner with SynergisticIT?<ul>	<li>Customized inputs to achieve the desired output :designed with industry needs in mind, ensuring you're equipped with the most sought-after skills.</li>	<li>Exclusive Opportunities: Our extensive network allows you to connect with leading tech firms. </li>	<li>Outstanding Outcomes: Many of our candidates land multiple job offers, often with starting salaries of $100k or more!</li>	</ul> Synergisticit Pics /Salaries of Successful Candidates Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Who Should Apply? We're looking for recent grads in Mathematics, Statistics , Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. SynergisticIT is committed to supporting your journey! Preferred SKILLS For Java /Full stack/Devops Positions Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Knowledge of Core Java , javascript , C++ or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools Candidates lacking technical skills or relevant experience can research our Job Placement Programs which can assist in landing a Job If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates Embrace Your Future! We also assist with F1 OPT to transition into H1B and Green Card byproviding comprehensive support. All positions are open to candidates of all visa types and US citizens. Are you ready to make an impact?

Job Title: Data and Analytics - Data Scientist/Architect
Job Location: Beaverton, OR
Job Duration: 06 Months on W2

Job Description:
Designs, develops and programs methods, processes, and systems to consolidate and analyze structured/unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Builds "products" for Analysis. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Typically requires a Bachelors Degree and minimum of 5 years directly relevant work experience Note: One of the following alternatives may be accepted: PhD or Law + 3 yrs; Masters + 4 yrs; Associates degree + 6 yrs; High School + 7 yrs.

Lead to the accomplishment of key goals across consumer and commercial analytics functions. Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations. Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language. Validate key performance indicators and build queries to quantitatively measure business performance. Communicate with cross-functional teams to understand the business cause of data anomalies and outliers. Develop data governance standards from data ingestion to product dictionaries and documentation. Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax. Organize and transform information into comprehensible structures. Use data to predict trends and perform statistical analysis. Use data mining to extract information from data sets and identify correlations and patterns. Monitor data quality and remove corrupt data. Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing. Improve existing processes through automation and efficient workflows. Build and deliver scalable data and analytics solutions. Work independently and take initiative to identify, explore and solve problems. Design and build innovative data and analytics solutions to support key decisions. Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation. Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.

Job Title: Data Scientist/Architect
Location: Beaverton, OR
Contract: 06 Months+ Contract

Job Description:    Designs, develops and programs methods, processes, and systems to consolidate and analyze structured/unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.
Builds "products" for Analysis. Interacts with product and service teams to identify questions and issues for data analysis and experiments.
Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Required:  Typically requires a Bachelor's Degree and minimum of 5 years directly relevant work experience Note: One of the following alternatives may be accepted: PhD or Law + 3 yrs; Masters + 4 yrs; Associates degree + 6 yrs; High School + 7 yrs.

Duties:    Lead to the accomplishment of key goals across consumer and commercial analytics functions.
Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations.
Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language.
Validate key performance indicators and build queries to quantitatively measure business performance.
Communicate with cross-functional teams to understand the business cause of data anomalies and outliers.
Develop data governance standards from data ingestion to product dictionaries and documentation.
Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax.
Organize and transform information into comprehensible structures.
Use data to predict trends and perform statistical analysis.
Use data mining to extract information from data sets and identify correlations and patterns.
Monitor data quality and remove corrupt data. Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing.
Improve existing processes through automation and efficient workflows.
Build and deliver scalable data and analytics solutions.
Work independently and take initiative to identify, explore and solve problems.
Design and build innovative data and analytics solutions to support key decisions.
Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.

Title: Data Scientist Location: Beaverton, OR Duration: 6 months contract NIKE, Inc. is more than just a leading athletic brand - we are innovators and visionaries focused on unleashing human potential. Our culture thrives by embracing diversity and rewarding imagination. We are constantly evolving and seeking achievers, leaders and dreamers who can grow with us. WHAT YOU WILL WORK ON <ul><li>Design, develop and program methods, processes and systems to analyze structured and unstructured "big data" sources to generate insights and solutions</li><li>Build "products" and tools for data analysis to address business questions and issues</li><li>Develop algorithms and automated processes to integrate, cleanse and evaluate large datasets</li><li>Identify meaningful insights from data analysis and experiments and effectively communicate findings</li><li>Work with stakeholders to understand requirements, develop sustainable data solutions, and provide data-driven insights and recommendations</li></ul>WHAT YOU BRING <ul><li>Bachelors Degree in a quantitative field plus 5+ years of directly relevant work experience</li><li>Expertise in SQL, Python, R or other data analysis programming languages</li><li>Experience with statistical analysis, data mining, machine learning techniques</li><li>Ability to communicate complex data concepts clearly to non-technical stakeholders</li><li>Passion for translating data into actionable business insights</li></ul> <ul><li>Published on 19 Nov 2024, 5:37 PM</li></ul>

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Data Scientist Jobs in Beaverton, OR

Machine Learning Data ScientistDecember 8, 2024

Data Scientist 3December 3, 2024

Data ScientistDecember 3, 2024

Entry Level Data Scientistanalystjava Full Stack DeveloperDecember 2, 2024

Data Scientist 3November 27, 2024

Data ScientistarchitectNovember 27, 2024

Data Scientist 3November 23, 2024

Data ScientistNovember 23, 2024