<h3>Job Description</h3><div>Job Description<div><div> Position SummaryEnergetiq is seeking a Data Scientist to join a dynamic and innovative technology company. This role requires advanced analytical acumen and solution orientation, possesses critical thinking skills, and has the expert knowledge to maintain good data and privacy policies and practices. The Data Scientist is expected to be a technology leader, and to make timely and informed decisions aligned to the company’s IT and business strategy. They will mentor and guide data analysts and power users in dashboarding and reporting, collaborating with management, stakeholders, process experts, internally and externally, in a manner that enhances the business value of data.The Scientist will primarily take the lead on grooming, governing, and securing Energetiq’s entire data estate, ensuring and auditing proper access to clean, correct, and complete information at all times. As part of their project work, the Scientist will translate user and business needs to technical and project specifications. With the cooperation of IT, EQ project management, and inter-department teams, the Scientist will create and deploy data-driven solutions, ensuring timely and effective project completion. Some of the Scientist’s time will be spent on innovating and incorporating new technologies into data access and company systems. Innovation projects in AI modeling and data interfacing will be required, and demonstrated skills and creativity in this area will be highly preferred in the hiring process.This role is hybrid, requiring physical presence in the EQ building in Wilmington, MA, 3 days a week. Domestic and International Travel is expected to be less than 10%.Key Responsibilities <ul><li>Champion and implement AI initiatives</li></ul><ul><li>Facilitate the ingestion of data from various sources into the EQ Azure Data Lake, ensuring data integrity and consistency. Manage pipelines and workflows using tools such as Azure Data Factory, or other ETL solutions</li></ul><ul><li>Combine and homogenize Data Lake and other historical data repositories with SAP S4/HANA ERP, creating and maintaining an “EQ Business Objects” analytics source platform</li></ul><ul><li>Organize and manage the storage of data within the data lake, including folder structures, file formats, and data partitioning strategies. Monitor and optimize data lake and other data storage usage to ensure efficiency, speed, and cost-effectiveness</li><li>Monitor data and systems to detect and mitigate potential security risks, privacy or compliance violations, and data breaches</li></ul><ul><li>Work with and mentor data consumers and subject matter experts to develop reporting capabilities, bridging across multiple data sources. Be an advocate for reports and data sources, raising awareness and suggesting process improvements using data, reporting, and modeling</li><li>Act as backup for other IT team members, and other duties as assigned</li></ul>Minimum Qualifications<ul><li>Bachelor’s degree in data science, Computer Science, or related field</li><li>Demonstrated projects in AI modeling and model programming</li><li>Experience in working with large datasets, deriving insights and presenting information through cloud analytics systems (PowerBI, SAP, QLIK, or other analytics platforms)</li></ul>Preferred Qualifications<ul><li>Master’s degree in data engineering, Data Science, Computer Science, or related field</li><li>2+ Experience with SAP S4/HANA data and programming</li><li>AI certifications and/or 2+ years commercial/business experience</li><li>MS Azure certifications, in particular data certifications</li></ul> </div></div></div>

Job Description Position Summary
Energetiq is seeking a Data Scientist to join a dynamic and innovative technology company. This role requires advanced analytical acumen and solution orientation, critical thinking skills, and expert knowledge to maintain good data and privacy policies and practices. The Data Scientist is expected to be a technology leader and to make timely and informed decisions aligned with the company’s IT and business strategy. They will mentor and guide data analysts and power users in dashboarding and reporting, collaborating with management, stakeholders, and process experts in a manner that enhances the business value of data.
The Scientist will primarily take the lead on grooming, governing, and securing Energetiq’s entire data estate, ensuring and auditing proper access to clean, correct, and complete information at all times. As part of their project work, the Scientist will translate user and business needs into technical and project specifications. With the cooperation of IT, EQ project management, and inter-department teams, the Scientist will create and deploy data-driven solutions, ensuring timely and effective project completion.
Some of the Scientist’s time will be spent innovating and incorporating new technologies into data access and company systems. Innovation projects in AI modeling and data interfacing will be required, and demonstrated skills and creativity in this area will be highly preferred in the hiring process.
This role is hybrid, requiring physical presence in the EQ building in Wilmington, MA, 3 days a week. Domestic and International Travel is expected to be less than 10%.
Key Responsibilities
Champion and implement AI initiatives
Facilitate the ingestion of data from various sources into the EQ Azure Data Lake, ensuring data integrity and consistency. Manage pipelines and workflows using tools such as Azure Data Factory or other ETL solutions
Combine and homogenize Data Lake and other historical data repositories with SAP S4/HANA ERP, creating and maintaining an “EQ Business Objects” analytics source platform
Organize and manage the storage of data within the data lake, including folder structures, file formats, and data partitioning strategies. Monitor and optimize data lake and other data storage usage to ensure efficiency, speed, and cost-effectiveness
Monitor data and systems to detect and mitigate potential security risks, privacy or compliance violations, and data breaches
Work with and mentor data consumers and subject matter experts to develop reporting capabilities, bridging across multiple data sources. Be an advocate for reports and data sources, raising awareness and suggesting process improvements using data, reporting, and modeling
Act as backup for other IT team members and other duties as assigned
Minimum Qualifications
Bachelor’s degree in data science, Computer Science, or related field
Demonstrated projects in AI modeling and model programming
Experience in working with large datasets, deriving insights, and presenting information through cloud analytics systems (PowerBI, SAP, QLIK, or other analytics platforms)
Preferred Qualifications
Master’s degree in data engineering, Data Science, Computer Science, or related field
2+ years of experience with SAP S4/HANA data and programming
AI certifications and/or 2+ years of commercial/business experience
MS Azure certifications, particularly data certifications

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Job Description   Position Summary
Energetiq is seeking a Data Scientist to join a dynamic and innovative technology company. This role requires advanced analytical acumen and solution orientation, critical thinking skills, and expert knowledge to maintain good data and privacy policies and practices. The Data Scientist is expected to be a technology leader and to make timely and informed decisions aligned with the company’s IT and business strategy. They will mentor and guide data analysts and power users in dashboarding and reporting, collaborating with management, stakeholders, and process experts in a manner that enhances the business value of data.
The Scientist will primarily take the lead on grooming, governing, and securing Energetiq’s entire data estate, ensuring and auditing proper access to clean, correct, and complete information at all times. As part of their project work, the Scientist will translate user and business needs into technical and project specifications. With the cooperation of IT, EQ project management, and inter-department teams, the Scientist will create and deploy data-driven solutions, ensuring timely and effective project completion.
Some of the Scientist’s time will be spent innovating and incorporating new technologies into data access and company systems. Innovation projects in AI modeling and data interfacing will be required, and demonstrated skills and creativity in this area will be highly preferred in the hiring process.
This role is hybrid, requiring physical presence in the EQ building in Wilmington, MA, 3 days a week. Domestic and International Travel is expected to be less than 10%.
Key Responsibilities
Champion and implement AI initiatives
Facilitate the ingestion of data from various sources into the EQ Azure Data Lake, ensuring data integrity and consistency. Manage pipelines and workflows using tools such as Azure Data Factory or other ETL solutions
Combine and homogenize Data Lake and other historical data repositories with SAP S4/HANA ERP, creating and maintaining an “EQ Business Objects” analytics source platform
Organize and manage the storage of data within the data lake, including folder structures, file formats, and data partitioning strategies. Monitor and optimize data lake and other data storage usage to ensure efficiency, speed, and cost-effectiveness
Monitor data and systems to detect and mitigate potential security risks, privacy or compliance violations, and data breaches
Work with and mentor data consumers and subject matter experts to develop reporting capabilities, bridging across multiple data sources. Be an advocate for reports and data sources, raising awareness and suggesting process improvements using data, reporting, and modeling
Act as backup for other IT team members and other duties as assigned
Minimum Qualifications
Bachelor’s degree in data science, Computer Science, or related field
Demonstrated projects in AI modeling and model programming
Experience in working with large datasets, deriving insights, and presenting information through cloud analytics systems (PowerBI, SAP, QLIK, or other analytics platforms)
Preferred Qualifications
Master’s degree in data engineering, Data Science, Computer Science, or related field
2+ years of experience with SAP S4/HANA data and programming
AI certifications and/or 2+ years of commercial/business experience
MS Azure certifications, particularly data certifications

#J-18808-Ljbffr

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn. Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect. The Automotive Electrification and Sustainable Energy (AES) Business Unit's Advanced Technology team is dedicated to developing technologies that expedite the adoption of electric vehicles and enable rapid transition to 100% carbon-free energy grid. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure, systems, and pipelines. You will collaborate closely with our data scientists, research scientists, and software engineers to ensure the availability, efficiency, and reliability of our data processes and architecture. Responsibilities <ul> <li>Design, develop, and maintain scalable and efficient data pipelines and ETL (Extract, Transform, Load) processes. </li><li>Collaborate with cross-functional teams to gather data requirements and implement data solutions. </li><li>Identify and implement appropriate data storage and retrieval solutions based on business needs. </li><li>Ensure data quality, integrity, and accuracy through data validation, cleansing, and transformation techniques. </li><li>Monitor and optimize data infrastructure performance, troubleshoot issues, and provide timely resolution. </li><li>Implement data security and privacy measures to protect sensitive information. </li><li>Continuously evaluate and recommend improvements to our data infrastructure, tools, and processes. </li><li>Stay up-to-date with emerging trends and technologies in the field of data engineering. </li></ul>Required Skillset: <ul> <li>Master's degree in Computer Science, Engineering, or a related field (or equivalent industry experience). </li><li>Proven experience as a Data Engineer or similar role, preferably in a fast-paced environment. </li><li>Proficiency in programming languages such as Python, Java, or Scala. </li><li>Strong understanding of data modeling, database design, and data warehousing concepts. </li><li>Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and related services (e.g., S3, Redshift, BigQuery). </li><li>Solid knowledge of SQL and NoSQL databases. </li><li>Familiarity with data integration tools (ETL) and frameworks (e.g., Apache Kafka, Apache NiFi, Apache Beam). </li><li>Experience with version control systems (e.g., Git) and collaborative coding practices. </li><li>Strong analytical and problem-solving skills. </li><li>Excellent communication and collaboration skills, with the ability to work effectively in a team environment. </li></ul>Desirable Experience <ul> <li>Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks. </li><li>Knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch). </li><li>Knowledge of MLOps workflow tools (e.g., Kubeflow) </li><li>Familiarity with containerization technologies (e.g., Docker, Kubernetes). </li></ul> For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Experienced Required Travel: No Shift Type: 1st Shift/Days

Job Description
Job Description

Position Summary

Energetiq is seeking a Data Scientist to join a dynamic and innovative technology company. This role requires advanced analytical acumen and solution orientation, possesses critical thinking skills, and has the expert knowledge to maintain good data and privacy policies and practices. The Data Scientist is expected to be a technology leader, and to make timely and informed decisions aligned to the company’s IT and business strategy. They will mentor and guide data analysts and power users in dashboarding and reporting, collaborating with management, stakeholders, process experts, internally and externally, in a manner that enhances the business value of data.

The Scientist will primarily take the lead on grooming, governing, and securing Energetiq’s entire data estate, ensuring and auditing proper access to clean, correct, and complete information at all times. As part of their project work, the Scientist will translate user and business needs to technical and project specifications. With the cooperation of IT, EQ project management, and inter-department teams, the Scientist will create and deploy data-driven solutions, ensuring timely and effective project completion.

Some of the Scientist’s time will be spent on innovating and incorporating new technologies into data access and company systems. Innovation projects in AI modeling and data interfacing will be required, and demonstrated skills and creativity in this area will be highly preferred in the hiring process.

This role is hybrid, requiring physical presence in the EQ building in Wilmington, MA, 3 days a week. Domestic and International Travel is expected to be less than 10%.

Key Responsibilities

Champion and implement AI initiatives

Facilitate the ingestion of data from various sources into the EQ Azure Data Lake, ensuring data integrity and consistency. Manage pipelines and workflows using tools such as Azure Data Factory, or other ETL solutions

Combine and homogenize Data Lake and other historical data repositories with SAP S4/HANA ERP, creating and maintaining an “EQ Business Objects” analytics source platform

Organize and manage the storage of data within the data lake, including folder structures, file formats, and data partitioning strategies. Monitor and optimize data lake and other data storage usage to ensure efficiency, speed, and cost-effectiveness

Monitor data and systems to detect and mitigate potential security risks, privacy or compliance violations, and data breaches

Work with and mentor data consumers and subject matter experts to develop reporting capabilities, bridging across multiple data sources. Be an advocate for reports and data sources, raising awareness and suggesting process improvements using data, reporting, and modeling

Act as backup for other IT team members, and other duties as assigned

Minimum Qualifications

Bachelor’s degree in data science, Computer Science, or related field

Demonstrated projects in AI modeling and model programming

Experience in working with large datasets, deriving insights and presenting information through cloud analytics systems (PowerBI, SAP, QLIK, or other analytics platforms)

Preferred Qualifications

Master’s degree in data engineering, Data Science, Computer Science, or related field

2+ Experience with SAP S4/HANA data and programming

AI certifications and/or 2+ years commercial/business experience

MS Azure certifications, in particular data certifications

Job Details Level Experienced Job Location Rigaku Analytical Devices, Inc. - Wilmington, MA Position Type Full Time Travel Percentage None Job Shift Day Job Category Science Description Senior/Principal System Data Scientist who can demonstrate significant skills, expertise and experience in applied development working with complex datasets for spectroscopy systems. Responsible for leading the development, implementation, test and release of data collection and processing enhancements for chemical identification applications for handheld products. Enjoys developing solutions for internal and external customers with a diverse team ranging from subject matter experts in spectroscopy during development to supporting continuous improvement activities with operations and supporting customers in field. Responsibilities: Leads data science development efforts, working with software and product management teams to ensure fit-for-purpose solutions Routinely communicates project status to team and organization, including raising awareness for program issues and driving to resolutions Drives project report outs and deliverables for formal gate reviews. Deep understanding and track record for developing algorithms/data processing for spectroscopic solutions Ability to work independently, when necessary, and to interface with multidisciplinary teams, working across departmental boundaries Qualifications Skills and Experience Required: Ability to accept data in multiple formats from the team and quickly reduce the data to actionable information Significant demonstrable algorithm development skills and experience for spectroscopic systems Develop features that can be deployed with the support of other team members that reduce operational burden on users which include detection algorithms, data processing algorithms, library management, etc. Develop and execute test plans for features and products in development in the early development stages Comfortable with developing stand-alone tools with the software team for other team members to use Mining data from existing sources to gain insight into product performance and fleet performance Understanding of product development process and norms An understanding of statistical testing Willingness and ability to collect data needed to test features and products Support product management team with customer requests for 'one of' quick fixes. Expert level use of tools such as MATLAB, Python/NumPy/Matplotlib, R, C/C++ (Open source tools are preferred). Strong organizational and communication skills. Experience working with data from sensors/detectors (such as CCD, CMOS, InGaAs) Passion for different challenges and willingness to expand your responsibilities in the business Ability to lead within a team to enact positive change Desired: Experience developing algorithms/data processing used in analytical devices (such as Raman, FTIR, NIR, XRF, LIBS, MS etc) Experience working with customers in military, homeland security, pharmaceutical or petrochemical industries is highly desirable Experience using open-source tools kits like Pandas, scikitlearn, Keras or Tensor flow. Experience developing tools used by internal or external customers to support spectroscopic systems development, test and deployment. Education required : B.A./B.S. with a minimum 12 years' of experience or M.S. with over 10 years' of experience or Ph.D with over 5 years' experience or equivalent combination of education and experience in Engineering, Science or related field, (ie Chemistry, Physics, Computer Science)

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn. Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect. The Automotive Electrification and Sustainable Energy (AES) Business Unit's Advanced Technology team is dedicated to developing technologies that expedite the adoption of electric vehicles and enable rapid transition to 100% carbon-free energy grid. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure, systems, and pipelines. You will collaborate closely with our data scientists, research scientists, and software engineers to ensure the availability, efficiency, and reliability of our data processes and architecture. Responsibilities <ul><li>Design, develop, and maintain scalable and efficient data pipelines and ETL (Extract, Transform, Load) processes.</li><li>Collaborate with cross-functional teams to gather data requirements and implement data solutions.</li><li>Identify and implement appropriate data storage and retrieval solutions based on business needs.</li><li>Ensure data quality, integrity, and accuracy through data validation, cleansing, and transformation techniques.</li><li>Monitor and optimize data infrastructure performance, troubleshoot issues, and provide timely resolution.</li><li>Implement data security and privacy measures to protect sensitive information.</li><li>Continuously evaluate and recommend improvements to our data infrastructure, tools, and processes.</li><li>Stay up-to-date with emerging trends and technologies in the field of data engineering.</li></ul> Required Skillset: <ul><li>Master's degree in Computer Science, Engineering, or a related field (or equivalent industry experience).</li><li>Proven experience as a Data Engineer or similar role, preferably in a fast-paced environment.</li><li>Proficiency in programming languages such as Python, Java, or Scala.</li><li>Strong understanding of data modeling, database design, and data warehousing concepts.</li><li>Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and related services (e.g., S3, Redshift, BigQuery).</li><li>Solid knowledge of SQL and NoSQL databases.</li><li>Familiarity with data integration tools (ETL) and frameworks (e.g., Apache Kafka, Apache NiFi, Apache Beam).</li><li>Experience with version control systems (e.g., Git) and collaborative coding practices.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration skills, with the ability to work effectively in a team environment.</li></ul> Desirable Experience <ul><li>Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.</li><li>Knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).</li><li>Knowledge of MLOps workflow tools (e.g., Kubeflow)</li><li>Familiarity with containerization technologies (e.g., Docker, Kubernetes).</li></ul> For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Experienced Required Travel: No Shift Type: 1st Shift/Days

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Data Scientist Jobs in Wilmington, MA

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Data Scientist Ii
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Data Scientist Ii
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Seniorprincipal System Data Scientist
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