Data Analytics Intern
Data science internship job in Wilmington, MA
Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally?
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 $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at ************** and on LinkedIn and Twitter (X).
At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network.
ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees.
At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles.
Apply now for the opportunity to grow your career and help innovate ahead of what's possible.
As a Data Engineering Intern you'll work closely with the data engineering and analytics teams to gain hands-on experience in building and maintaining data infrastructure while developing predictive models for operational insights. This role offers exposure to data pipeline development, database management, and advanced analytics techniques, including AI/ML. You will collaborate with engineers across the organization on data gathering, curation, analysis, and validation to support scalable solutions.
Key Responsibilities
Assist in designing and developing ETL pipelines for data extraction, transformation, and loading.
Work with data warehousing solutions such as Redshift or Snowflake.
Develop and deploy predictive models for operational efficiency using statistical and machine learning techniques.
Write and modify scripts in Python or R for data manipulation and analysis.
Collaborate with cross-functional teams to understand data infrastructure needs and best practices.
Ensure data integrity, accuracy, and consistency across all processes.
Preferred Qualifications
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
Proven academic or project experience in data analysis and modeling.
Skills & Qualifications
Basic knowledge of SQL and relational/non-relational databases.
Familiarity with scripting languages (Python or R); exposure to JavaScript, Apache Spark, and MongoDB is a plus.
Strong foundation in statistics and predictive modeling; AI/ML exposure preferred.
Interest in ETL processes, scalable data pipelines, and data architecture.
Excellent attention to detail and communication skills
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: Internship/CooperativeRequired Travel: NoThe expected wage range for a new hire into this position is $22 to $41.
Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
Auto-ApplyFall 2026 Co-Op - Data Analyst
Data science internship job in Burlington, MA
**Fall 2026 Co-** **Op** **-** **Data Analyst - Burlington, MA** As a **Fall 2026 Co-Op - Data Analyst ** in **Burlington, MA** at Keurig Dr Pepper (KDP), you will be a part of the beverage revolution. You will be working in a fast-paced, highly technical environment that produces some of KDP's most popular beverages. Each co-op will lead high-impact projects and will be provided with opportunities to grow professionally. Come learn what it takes to succeed at an industry-leading company and help contribute to our ongoing success. While supporting the Supply Chain at KDP, your project work will include an opportunity to travel and work at a manufacturing site. You will see how it all comes together and how your work makes an impact.
**Shift/Schedule:**
+ The KDP 2026 Fall Co-op Program will run from July 13 - December 11, 2026
+ Full-time; 40 hours per week
+ Monday-Friday
+ 8:00am until 5:00pm
+ Hybrid
+ Some travel may be required
**As a Co-op you will:**
+ Gain knowledge in executing operational plans and projects, including data analytics and developing visualizations for DMS (Daily Management Systems) and QMS(Quality Management Systems).
+ Participate in AGILE project management and lead the development, verification, and testing of Data Analytics dashboards and visualization tools.
+ Influence software capabilities to achieve six sigma quality performance and enhance Quality Management System.
+ Assist with TPM (Total Productive Maintenance) implementation and Lean activities, including participation in Continuous Improvement or Kaizen events.
+ Analyzing Data from MES (manufacturing execution system) and quality inspection data to make process improvements
+ Audit findings data and action tracking visualizations
**Elements of the KDP Co-op Program include:**
+ Engaging and partnering on innovative projects to gain experience in a challenging, cross functional team environment
+ Participate in meet & greets and lunch & learns with KDP executives and other organization leaders
+ Receive professional development training such as networking, professional skills development and presenting
+ Be paired with a mentor to enhance your knowledge of other parts of the business and build your network
+ Complete a project from start to finish and present it and your takeaways to your team, department vice president and other KDP stakeholders
**Total Rewards:**
+ $31/hour
+ Paid bi-weekly
+ $5,000 Sign-on Bonus, paid within first 30 days of employment
**Requirements:**
+ Must be an undergraduate currently enrolled in a full-time academic program from an accredited college or university, majoring in Information Technology, Data Analytics, Engineering or another related field
+ Available to work 40 hours per week (M-F, 8am-5pm)
+ Excellent organizational skills and attention to detail with a demonstrated ability to manage multiple projects, prioritize requests, and meet deadlines
+ Strong communication skills including excellent listening, written, and verbal abilities
+ Ability to work cross-functionally, be independently driven, and a self-starter
+ Strong skills in Microsoft Excel and PowerPoint
+ Tableau, Power BI, and SQL experience is preferred
**Please note: ** This position is limited to persons with permanent right to work in the United States.
We incorporate HireVue, an automated interview tool, into our campus recruitment process. Please visit this link (************************************************** to learn more about HireVue and how to prepare. *We recommend checking with your campus career center for additional preparation resources such as InterviewStream, Big Interview and more
**Company Overview:**
Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partners brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the #1 single-serve coffee brewing system in North America at KDP, and we have fun doing it!
Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation, and growth. Will you join us?
We strive to be an employer of choice, providing a culture and opportunities that empower our team of ~29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work.
Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law.
**A.I. Disclosure:**
KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to **************** .
Keurig Dr Pepper is an equal opportunity employer and affirmatively seeks diversity in its workforce. Keurig Dr Pepper recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law.
Easy ApplyData Scientist
Data science internship job in Concord, NH
** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole.
We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands.
We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.
Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.
**Job Description**
ESSENTIAL DUTIES AND RESPONSIBILITIES
+ **Business Partnership & Consulting**
+ Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions.
+ Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience.
+ Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities.
+ Experience advising, presenting to, and serving as a thought partner to senior executives.
+ **Analytics & Insights**
+ Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance).
+ Translate complex data into clear, actionable insights with strong storytelling and visualization.
+ Deliver executive-ready materials that connect people data to business outcomes.
+ Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights.
+ **Advanced People Analytics**
+ Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities.
+ Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities.
+ Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights.
+ **Strategy & Enablement**
+ Guide stakeholders in building a data-driven culture within HR and across the business.
+ Drive adoption of self-service analytics platforms and democratize access to people insights.
**Qualifications**
REQUIRED
+ **Education & Experience**
+ Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field.
+ 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields.
SKILLS
+ **Technical Skills**
+ Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier).
+ Advanced Excel, SQL, or Python/R for data analysis preferred.
+ Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures.
+ **Business & Consulting Skills**
+ Exceptional ability to translate data into business insights and recommendations.
+ Strong stakeholder management, influencing, and storytelling skills.
+ Experience in partnering with senior leaders to drive data-informed decisions
**Additional Information**
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** .
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
\#LI- VV1
**Compensation & Benefits Details**
+ An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
+ The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
+ If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
+ You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards.
+ We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan.
+ **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
**Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .
Data & Evaluation Applied AI Scientist
Data science internship job in Woburn, MA
SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones.
To learn more about us, please visit: **********
What We Offer:
* A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company.
* The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact.
* Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology.
* Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering.
* Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions.
What we Need:
The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems.
Essential Duties and Responsibilities:
* Data Curation & Validation
* Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data.
* Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets.
* Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy.
* AI System Quality & Correctness
* Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration.
* Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles.
* Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain.
* Strategy & Collaboration
* Drive the application of Battery Informatics principles across all data pipelines and modeling effots.
Education and/or Experience:
* Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field.
* Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats.
* Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets.
* AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration.
* Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain.
Preferred Qualifications:
* Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF).
* Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs).
* Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models.
* Computational Focus: Experience as a Computational battery AI specialist.
Auto-ApplyData Scientist
Data science internship job in Concord, NH
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
4. Build models of user behaviors for analysis or to power production systems.
5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
6. Design and implement dashboards and reports that track key business metrics and provide actionable insights.
7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.
9. Telecommuting from anywhere in the U.S. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following
11. Relational database (SQL)
12. Developing in scripting language (Python, R)
13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive)
14. Data Visualization (Tableau)
**Public Compensation:**
$165,787/year to $196,900/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
MDM Data Analyst I
Data science internship job in Lexington, MA
US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website ************************
We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well.
Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset.
Job Description
Job Title:
MDM Data Analyst I
Location:
Lexington, MA, 02421
Duration: 12-+ Months
Description:
The MDM Data Analyst reports to the MDM/Data Governance Manager and is responsible for the end-to-end master data customer and product maintenance processes within U.S. Commercial Operations. This person is responsible for MDM data quality, processes and business rules. He/she will be responsible for working with the various business area leads to ensure cross-team processes are efficient and master data is consistent, accurate and compliant across applications.
% of Time Job Function and Description
35% Data Steward Team Management
• Responsible for daily MDM data steward activities
• Perform ad hoc customer and product master data requests
• Participate in MDM UAT testing
45% Operational Excellence
• Responsible for defining MDM Standard Operating Procedures (SOPs) and Work Instructions (WIs)
• Responsible for ensuring the accuracy and completeness of customer and product master data
• Responsible for understanding the end-to-end processes for maintaining customer master and product data across business areas
• Responsible for customer and product data harmonization across multiple sources
20% Cross-Functional Collaboration
• Work closely with Commercial Ops Governance team and adhere to implemented principles and process standards
• Work with IT to coordinate and define business user impacts of MDM application changes including resolving issues and planning for enhancements and upgrades
• Assist in the definition of master data sourcing and services strategies including the evaluation of third party data providers and services under the direction of the MDM/Data Governance Manager
Education and Experience Requirements
• Bachelor's degree in the field of computer science, information technology, engineering or business administration, Management Information Systems, Finance, Sciences or related area or equivalent experience
• Advanced Degree preferred
• 1-3 years of work experience, Pharma related preferred
• Informatica MDM/IDD experience preferred
• One full cycle of an MDM implementation preferred
• Has basic knowledge of Pharmaceutical Commercial business environment/operations
Key Skills, Abilities, and Competencies
• Establishes good working relationships with business owners, and supporting the governance structure to ensure on-going data accuracy and completeness
• Business acumen
• Standard MS Office skill set including Excel, Visio, Power Point and Access
• Experience with data structures, relations and processes
• Strong background in technology and good numerical analytical ability
• Intermediate in Microsoft Office applications, particularly MS Excel, Visio
• Demonstrates competency in: understanding and correcting data discrepancies; reading and translating data models; data querying; identifying data anomalies and root cause analysis;
• Knowledge of SQL and the ability to query relational databases preferred
Complexity and Problem Solving
• Excellent analytical, mathematical, and creative problem-solving skills
• Customer and Product Data Harmonization decisions will directly affect Sales Operations, IT and the Field Force
Internal and External Contacts
List contacts this job advises, consults, or coordinates with on a regular basis. Describe to whom the
job is accountable. Indicate each Contact category (Internal, Vendor, Customer, or Other) and
provide examples.
• Highly collaborative and influential role interacting with senior management and stakeholders from the BU's, sales force effectiveness counterparts, Sales Leadership, Global Commercial Operations, Global Data Management Peers, Commercial Technology Team (IT), consultants & vendors, etc
Qualifications
Bachelor
Additional Information
Thanks & Regards,
Ankit Tyagi
Clinical/Pharma Recruiter
Tel: **************
Data Scientist, NLP
Data science internship job in Concord, NH
Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care.
By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.
We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data.
You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale.
This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to:
+ Design and develop models to extract entities, detect intents, and understand document structure
+ Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs
+ Evaluate model performance where ground truth is partial, uncertain, or evolving
+ Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions
We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out.
**Qualifications**
+ 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.
+ Proficiency with Python
+ Experience with the latest in language models (transformers, LLMs, etc.)
+ Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
+ Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow
+ Industry experience shepherding ML/AI projects from ideation to delivery
+ Demonstrated ability to influence company KPIs with AI
+ Demonstrated ability to navigate ambiguity
**Bonus Experience**
+ Experience with document layout analysis (using vision, NLP, or both).
+ Experience with Spark/PySpark
+ Experience with Databricks
+ Experience in the healthcare industry
**Responsibilities**
+ Play a key role in the success of our products by developing models for document understanding tasks.
+ Perform error analysis, data cleaning, and other related tasks to improve models.
+ Collaborate with your team by making recommendations for the development roadmap of a capability.
+ Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
+ Understand product use-cases and define key performance metrics for models according to business requirements.
+ Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).
**After 3 Months, You Will...**
+ Have a strong grasp of technologies upon which our platform is built.
+ Be fully integrated into ongoing model development efforts with your team.
**After 1 Year, You Will...**
+ Be independent in reading literature and doing research to develop models for new and existing products.
+ Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.
+ Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations.
\#LI-BC1
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.
The estimated total cash compensation range for this role is:
$136,000-$170,000 USD
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis.
For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .
Healthcare Data Analyst
Data science internship job in Bedford, MA
At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders - internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.
Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!
JOB SUMMARY
This position is responsible for developing and enhancing analytic tools. This position is also responsible for interpreting and analyzing the Company's operations and associated data of an advanced to complex nature. This position is also responsible for analyzing and reporting accurate data and other information to higher levels as well as for serving as a resource for less experienced team members. This position will work to enable deeper insights and better decision making through the use of data analytic techniques.
DUTIES
* Develop, implement, and maintain leading-edge analytic systems.
2. Create analytic frameworks for complex requests.
3. Identify trends and opportunities for business growth through analysis of complex data sets.
4. Create reports and predictive analytics utilizing data mining techniques, data analysis, and data visualization tools.
5. Evaluate internal ecosystem to create and enhance modeling solutions.
6. Develop and maintain ETL's for handling, processing, and cleansing data.
7. May develop internal and/or client-facing reporting performance reporting on the business.
8. May create geographic and disruptive analyses intended to aid the sale of new business.
9. May analyze provider-specific proposals, client, prospect claim files for opportunity improvements for.
10. May analyze client-specific proposals for Sales steerage including impact analysis.
11. May analyze requests in support of Legal needs.
12. May analyze requests supporting government adequacy.
13. Will serve as a strategic advisor across various disciplines and departments.
14. Provide insight to internal operations to support corporate initiatives.
15. Present results to clients and /or the Company's Leadership team in a polished professional manner.
16. Ability to interact, communicate, and elicit trust and credibility with all levels of the Company and external clients Completion of all tasks within department standard turnaround times as well as displaying the ability to adjust/alter schedule to meet deadlines.
17. Ability to prioritize competing tasks based on complexity and/or urgency in a fast-paced environment while maintaining a positive and cooperative demeanor.
18. Commit to client service excellence.
19. Ability to handle proprietary, confidential, and restricted information in accordance with the Company's policies and procedures and ensuring compliance with HIPAA regulations and requirements.
20. Demonstrate Company's Core Competencies and values held within.
21. Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk Role.
22. The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.
JOB SCOPE: The incumbent works under general supervision and with discretion to complete the job responsibilities. The incumbent relies on varied knowledge gained through previous experience as well as acquiring new knowledge and mastering the usage of leading-edge analytic tools and approaches to address advanced to complex issues and assignments that usually require interpretation and ingenuity. The incumbent will display intellectual curiosity throughout data exploration. Generally, one operates with wide latitude for unreviewed action or decision-making. The incumbent may also aid less experienced team members in finding solutions for complex issues. Work involves applying advanced skills using tools and systems for the position or specialization.
COMPENSATION
The salary range for this position is $85-100K. Specific offers take into account a candidate's education, experience and skills, as well as the candidate's work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity.
REQUIREMENTS
* Minimum bachelor's degree in data science, statistics, accounting, finance, economics, healthcare informatics or related field or HS Diploma and 4 years of related experience Minimum 2 to 5 years' experience in data mining preferably within a healthcare environment.
* Required licensures, professional certifications, and/or Board certifications as applicable.
* Strong technical skills required to automate requests, create more complex queries, and make those queries run effectively.
* Problem solving, decision making, analytical, organization, mentoring and communication (written, verbal and listening) skills.
* Proven skills at a proficient level in analytic principles and concepts of statistical data analysis, modeling, mining, and visualization
* Ability to interact, communicate, and elicit trust and credibility with all levels of the Company and external clients.
* Possess a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Ability to understand the business logic behind business processes.
* Requires ability to use the entire suite of MS Office tools.
* Requires ability to use business intelligence tools related to job responsibilities, including, but not limited to, SQL Server business intelligence platform (SSIS, SSMS, SSAS, SSRS), PowerBI, Tableau, R, Python, SPSS, and SAS
* Experience using statistical computer languages (R or Python preferred) to manipulate data and draw insights from large data sets.
* Preferred knowledge of TSQL or related experience in SQL programming language
* Preferred experience with Azure Data Platform (Data Services, Synapse Analytics), Apache SparkAbility to work independently on multiple concurrent projects.
BENEFITS
We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities.
Your benefits will include:
* Medical, dental and vision coverage with low deductible & copay
* Life insurance
* Short and long-term disability
* Paid Parental Leave
* 401(k) + match
* Employee Stock Purchase Plan
* Generous Paid Time Off - accrued based on years of service
* WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional years of service
* 10 paid company holidays
* Tuition reimbursement
* Flexible Spending Account
* Employee Assistance Program
* Sick time benefits - for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits
EEO STATEMENT
Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.
APPLICATION DEADLINE
We will generally accept applications for at least 5 calendar days from the posting date or as long as the job remains posted.
#LI-AW1
Data Analyst
Data science internship job in Lexington, MA
As a Data Analyst in the Finance Data Analytics department, you will be responsible for maintaining, improving, and building new reporting capabilities for cross-functional areas of the business. By developing a deep understanding of operational processes and needs, you will be responsible for implementing new reporting capabilities and using technology to deliver impactful reports. You will partner with teams in various functional areas of the business to implement process improvements that will streamline the efficiency and accuracy of the reporting process. You will be responsible to delivering daily, weekly, and monthly reports accurately and on time. You will also be involved in ad hoc analysis of large datasets to quickly provide insight into the business.
Functional Support Area: Procurement/Accounts Payable/Accounts Receivable/Support Services
Core Responsibilities
Function as an analytics and reporting expert for assigned functions by executing standard reports and, running / maintaining ad hoc queries.
Participate in the development of reports, metrics, models, scorecards, and dashboards by gathering data and transforming it into stories and insights that drive business recommendations and decision-making.
Publish daily, weekly, and monthly reports accurately and on time
Build reports and dashboards in Microsoft Power BI, Analysis for Office, Bex, and other reporting tools
Participate in hosted training sessions on how to use the various tools and reports created by the department
Generate load files for various systems, maintaining system accuracy
Communicate effectively with report stakeholders to ensure strong understanding of the methodology behind all calculations
Perform ad hoc analysis using data from various systems and explain results of analysis to all levels of management
Create SOPs and maintain documentation for processes
Demonstrate continuous efforts to improve processes, increase data integrity, and provide quality customer service to our business partners.
Provide comprehensive analytical and fact-based reporting to support and/or identify opportunities to impact operational results, make changes to processes, and support strategic initiatives.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. May perform other duties as assigned.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions .
Bachelor's Degree from a regionally accredited four-year college or university in Accounting/Finance, Computer Science/Data Analytics or related field and 2+ years of relevant work experience or equivalent combination of education and/or experience, required.
Ability to build models using advanced features of Excel.
Experience with Power BI / Tableau, Power Pivot, SAP, SAP Analysis for Office, BPC, Bex Query Designer.
Experience in analyzing data within relational database systems such as MS Access, MS SQL Server, and MySQL.
Experience with ETL Tools such as Alteryx, Paxata, DataGuru or equivalent technologies, preferred.
Understanding of Windows environment command line tools, .BAT files, and Task Scheduler, preferred.
Experience with HTML/CSS/Javascript and a backend technology like python-flask, preferred.
Experience with Data analysis in Python using Pandas/Numpy/Jupyter Notebooks, preferred.
Ability to quickly learn new technology and business logic.
Superior analytical and problem-solving skills with superb attention to detail.
Strong written and verbal communication skills.
Ability to work independently in a fast-paced and rapidly changing and ambiguous environment.
Ability to work well with others in fast paced, dynamic environment.
Ability to be respectful, approachable and team oriented while building strong working relationships and a positive work environment.
Up to 10% travel required.
Data Analyst
Data science internship job in Lexington, MA
Job Brief:
Insert customer and account data by inputting text-based and numerical information from source documents within time limits Compile, verify accuracy and sort information according to priorities to prepare source data for computer entry Review data for deficiencies or errors, correct any incompatibilities if possible and check output
Research and obtain further information for incomplete documents
Apply data program techniques and procedures
Generate reports, store completed work in designated locations and perform backup operations
Scan documents and print files, when needed
Keep information confidential
Respond to queries for information and access relevant files
Comply with data integrity and security policies
Ensure proper use of office equipment and address any malfunctions
Insert customer and account data by inputting text-based and numerical information from source documents within time limits Compile, verify accuracy, and sort information according to priorities to prepare source data for computer entry Review data for deficiencies or errors, correct any incompatibilities if possible and check the output
Research and obtain further information for incomplete documents
Apply data program techniques and procedures
Generate reports, store completed work in designated locations, and perform backup operations
Scan documents and print files, when needed
Keep information confidential
Respond to queries for information and access relevant files
Comply with data integrity and security policies
Ensure proper use of office equipment and address any malfunctions
Responsibilities:
Determining organizational goals.
Mining data from different sources.
Managing master data by creating, updating, cleaning, and trimming data.
Grant technical expertise on cleaning, trimming, and storage of data.
Analyze and interpret results.
Identify trends, correlations, and patterns in complicated data.
Present findings and concise data reports which include management of data sources, security, and metadata.
Design relational databases and data systems.
Work with higher officials and the management teams to set up business and information needs.
Come up with new process improvement opportunities.
Promoting data integrity and normalization.
Pay attention to the confidentiality of the data.
Evaluating changes and updates
Skills Required:
Bachelor's degree in Computer Science and other related courses.
Proven work experience as a data analyst.
Good analytical skills.
Good interaction with the higher officials and colleagues.
Ability to handle large data sets and relational databases.
Good communication skills include the ability to speak clearly and be able to communicate complex ideas into an easily understandable form.
Critical thinking skills.
Great attention to detail for the desired accuracy.
Statistical and Mathematical knowledge.
Acquaintance with technical tools in the industry.
Senior Data Quality Analyst
Data science internship job in Burlington, MA
Limitless Growth: Join a rapidly expanding company where top performers are recognized and promoted. At Cedar Gate, your career potential is only limited by your ambition.
Impactful Innovation: Your ideas aren't just heard, they're celebrated, especially when they improve outcomes for all.
Be Essential: Play a critical role in shaping and growing the team and company. Your contributions to the team truly matter here.
Rewarding Culture: Work alongside a high-performing, supportive team that celebrates success together.
Meaningful Work: We prioritize both employee well-being and delivering exceptional results for clients, revolutionizing healthcare.
SummaryThe Senior Data Quality Analyst plays a crucial role marked by agility and intensity within Cedar Gate Technologies' Data Quality Team. In this role, you'll lead quality assurance initiatives across the data lifecycle, designing and refining testing processes, identifying root causes of issues, and championing best practices that raise the bar for healthcare data integrity enterprise-wide.
You'll collaborate with talented teammates locally and globally, guiding and mentoring others while fostering a shared culture of precision, accountability, and continuous improvement. At Cedar Gate, your attention to detail doesn't just catch errors-it fuels innovation, builds trust, and empowers better healthcare outcomes.
Roles & Responsibilities
Develop, implement, and enforce robust healthcare data quality standards, policies, and procedures, utilizing industry best practices to guarantee that data for critical business decisions is accurate, consistent, timely, and trustworthy.
Actively champion healthcare data governance best practices by collaborating cross-functionally to identify, prioritize, and drive data governance initiatives, and report progress and risks promptly to stakeholders.
Fostering a data-aware culture by designing and delivering targeted training to cross-functional teams that ensure understanding of healthcare data quality ratings and strategies for enhancing performance against those measures.
Collaborate with cross-functional teams to address healthcare data quality issues by performing root cause analysis, ensuring clear ownership, accountability, corrective actions, and continuous improvement in data management processes
Thoroughly review and analyze business, software, and data requirements to proactively identify potential data quality risks and gaps.
Assist Data QA Management in establishing strategic data QA priorities, guiding, and prioritizing data quality assurance tasks, to ensure all deliverables meet scope, requirements, and deadlines.
Develop comprehensive, risk-based Data QA Test Plans
Design, prepare, and execute advanced data validation test cases/scripts
Lead initiatives to implement QA best practices across the data team
Create, monitor, and report on key data quality metrics (KQIs/KPIs),
Lead data QA projects and coordinate data QA deliverables
Job Location
Hybrid Remote: Enjoy the flexibility of working from home and collaborating three days a week at our office in Burlington, Massachusetts
Relocation assistance is not provided for this position
Required Experience / Qualifications
At least three years of US healthcare claims data quality analysis
More than 5 years (prefer more than 8 years) of professional work experience in the US healthcare provider domain
Significant experience working with big data in an enterprise data warehouse environment
Experience identifying and implementing data processing best practices
Bachelor's degree in Information Management, Computer Science, Business Analytics, or a related field
Strong verbal and written communication skills in English
A meticulous mindset and a passion for delivering high-quality data solutions.
JetStore, File Mapping, and Scrub engines experience
Experience mentoring and training others
Initiative-taking and able to manage multiple tasks effectively in a challenging environment
Experience with JIRA, AWS, Redshift, Snowflake, and SQL for QA data analysis/reporting
Currently eligible to work in the U.S. without any assistance in getting a U.S. employment visa or U.S. work authorization.
Preferences - Not Required
Experience working directly with clients, providing services, and representing the company
Knowledge of HEDIS, HCC, and other programs
Previous experience managing data teams or evidence of advancing leadership roles
Your Future Working Environment
If you join Cedar Gate, you can make great ideas happen for some of the world's most dynamic companies. With broad global resources and deep technical know-how, we collaborate with clients to cultivate ideas and deliver results in the medical industry. Choose a career at Cedar Gate and enjoy an innovative environment where challenging and interesting work is part of daily life.
Next to our excellent terms of employment and fringe benefits, we invest considerable resources to provide ongoing training that builds and extends professional, technical, and management skills in all areas. At Cedar Gate, you will operate in a professional environment where teamwork and innovation are immensely encouraged. Together with colleagues, you will work on high-impact projects for many dynamic companies.
About Cedar Gate
Cedar Gate enables payers, providers, employers, and service administrators to excel at value-based care. Our unified technology and services platform enhances and automates data management activities to deliver employer and provider analytics, care management, and payment technology necessary to pursue every payment model and optimize performance in all lines of business. From primary care attribution to bundled payments to capitation, our platform is designed to improve clinical, financial, and operational outcomes for all.
Based in Greenwich, CT, Cedar Gate is private equity backed by GTCR, a leading Chicago-based private equity firm, Ascension Ventures, a strategic healthcare venture firm, and Cobalt Ventures, the investment subsidiary of BCBS of Kansas City. To learn more, visit ******************
Auto-ApplyPrincipal Data Scientist
Data science internship job in Manchester, NH
Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.
You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.
This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)
This position requires occasional travel to the DC area for client meetings.
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Minimum Requirements:
- Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Contribute to the development of mathematically rigorous process improvement procedures.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g. Python, R, etc.).
- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.
- Experience with API programming.
- Experience with Linux.
- Experience with Statistics.
- Experience with Classical Machine Learning.
- Experience working as a contributor on a team.
Preferred Skills and Qualifications:
- Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.).
- Experience developing machine learning or signal processing algorithms:
- Ability to leverage mathematical principles to model new and novel behaviors.
- Ability to leverage statistics to identify true signals from noise or clutter.
- Experience working as an individual contributor in AI.
- Use of state-of-the-art technology to solve operational problems in AI and Machine Learning.
- Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles.
- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.
- Ability to build reference implementations of operational AI & Advanced Analytics processing solutions.
Background Investigations:
- IRS MBI - Eligibility
#techjobs #VeteransPage
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************.
Minimum Salary
$
156,740.00
Maximum Salary
$
234,960.00
Easy ApplyData Scientist - MADE Operations
Data science internship job in Lawrence, MA
Who We Are:
Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today.
JOB MISSION:
The MADE Operations Data Scientist will enable a more data-driven, digitally native culture across the MADE in USA team by applying advanced analytics, statistical modeling, and data science techniques to solve operational challenges. This role supports cross-functional operations-spanning product development, engineering, planning, purchasing, and logistics-by delivering actionable insights, leading metric development, and building predictive models and alerting systems. The ideal candidate combines technical excellence in data science and data engineering with a deep understanding of footwear and apparel manufacturing, and the ability to translate complex data into clear, impactful business decisions.
MAJOR ACCOUNTABILITIES:
Develop and maintain Power BI dashboards and reporting systems that surface key operational metrics and drive visibility across the MADE organization.
Build and deploy analytical models to forecast performance, identify bottlenecks, and optimize processes across product development, manufacturing, planning, and logistics.
Design and maintain semantic data models that enable scalable, self-service analytics and support advanced querying and analysis.
Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities for operational improvement.
Collaborate with cross-functional stakeholders to frame business problems as data science questions and deliver actionable insights.
Implement alerting and monitoring systems that proactively flag deviations in performance or quality metrics.
Partner with IT and data engineering teams to ensure robust data pipelines and infrastructure that support modeling and reporting needs.
Validate and improve data quality across systems such as ERP, MES, PLM, and other operational platforms.
REQUIREMENTS FOR SUCCESS:
Minimum 2 years of experience in a data analytics or data science role within a brand that manufactures apparel and/or footwear.
Proficiency in Python and open-source data science tools (e.g., Pandas, NumPy, Scikit-learn, Jupyter).
Strong experience with Power BI, including DAX, data modeling, and dashboard design.
Familiarity with manufacturing, supply chain, or product development data and systems.
Experience designing semantic layers and integrating data from multiple sources (e.g., ERP, MES, PLM).
Regular Associate Benefits
Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks - opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs - that encourage our associates to grow personally as they develop professionally. You'll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword - it's part of our culture.
Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount.
Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount.
Flexible Work Schedule
For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced “Work from Anywhere” (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility.
Equal Opportunity Employer
New Balance provides equal opportunities for all current and prospective associates to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran, or any other protected status.
Auto-ApplyPrincipal Data Scientist in Epidemiology and Patient Data Products
Data science internship job in Lexington, MA
About Us
Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company's Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.
Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development.
Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation.
Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit *******************
About the Role
As a Principal Epidemiologist and Data Scientist in Epidemiology and Patient Data Products, you will lead groundbreaking research that is revolutionizing drug discovery. Our innovative platform leverages advanced computational techniques to accelerate the development of new medicines. You will have the opportunity to lead research initiatives and collaborate with a diverse team of experts (data scientists, epidemiologists, and clinicians) to address challenging problems that can have a significant impact on global health.
What You'll Do...
As a senior member of our neurodegenerative disease drug discovery team, you will lead complex research projects from conceptualization through execution, that incorporate multiple workstreams stemming from real-world data studies (e.g., electronic medical records) for projects in drug discovery and development.
Provide mentorship and oversee technical members of our Epidemiology and Patient Data team. In addition, Principal roles consult on partner teams, providing technical expertise across translational data science (e.g., knowledge graph, statistical genetics, computational biology).
Be a project leader, engage external partners and stakeholders to translate research questions into observational study designs, implement project plans that prioritize high impact workstreams for clients, and leverage your medical domain knowledge to create deliverables that showcase patient-centric insights that resonate with diverse audiences.
Collaborate with data science and program management functions to define project scope, establish timelines, and allocate resources. Leverage agile software tools (e.g., Jira boards) to manage complex projects and timelines across multiple workstreams.
Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we're trying to address don't have known solutions or clear processes to arrive at answers.
Work with a diverse array of global patient data spanning electronic medical records, sequencing, multi-omics data, and other data modalities using R and Python in cloud environments.
Be an active team member, championing and adopting shared analytic and coding standards.
What You Bring...
PhD in epidemiology or biostatistics with 7+ years of work-related experience (or MPH/MS with 10+ years) leading epidemiological, statistical, and/or machine learning projects in real-world patient data.
Robust statistical analytic skills, applicable to observation study designs, including cohort/longitudinal studies of electronic health records/real world data.
Advanced knowledge in biostatistics approaches, including inferential and predictive modeling, and comfortable incorporating causal inference techniques with machine learning algorithms in real world data.
Familiarity with applying LLMs to real world data for data curation and extracting insights.
Clear communication and confidence in your ability to use agile software tools (e.g., Jira boards) to implement project plans and manage timelines (e.g., Gantt charts) used by multiple teams.
Experience leading complex research projects with real business impacts: from co-creating research programs with clients to delivering high-impact insights to leadership.
Must have experience conducting data manipulation and statistical analysis in Python and/or R programming languages.
Experience being an externally facing project leader, leading meetings, and soliciting input from clients, and keeping relevant stakeholders in the loop to ensure alignment throughout project lifecycle.
Comfortable working in ambiguous problem spaces; experience working in a start-up or agile work environment as part of cross-functional project teams.
You May Also Bring...
Experience with neurodegenerative disease research
Familiarity with or exposure to traditional drug discovery and development processes and approaches is a plus
Familiarity with integrated clinico-omics datasets (including sequencing, genomics, proteomics, etc.) is a plus
Passion for mentoring scientists and staff, including 2+ years managing direct reports
Remote Salary Range$180,000-$230,000 USDCA Salary Range$210,000-$270,000 USD
Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future.
Please note: At this time, we are only able to consider candidates who
currently
have permanent US work authorization without the need for immediate or future sponsorship.
Auto-ApplyROCHESTER: Business Analyst Intern
Data science internship job in Newburyport, MA
Reporting to the Business System Applications Manager, the Business Analyst Intern will work closely with the operations leadership team and will be to responsible for ensuring that all documentation pertaining to Q2 and Q3 Synergy project for the current financial year are completed accurately, quickly and in compliance with regulations.
This position will help streamline our document repository by helping with creation of process flows, test plans and user training materials.
ESSENTIAL JOB FUNCTIONS*
Create process flows pertaining to current business processes
To understand JIRA and create user stories
Create test plan as per the requirements
Create user training materials
Work with management to prioritize business and information needs
OTHER DUTIES AND RESPONSIBILITIES
Performs additional duties as assigned by Manager, Business System Applications
Data Analyst Intern
Data science internship job in Concord, NH
**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
**Job Summary**
As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences.
**Job Description**
We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026.
**This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.**
**What** **You'll** **Do**
+ Assist in collecting, processing, and analyzing large datasets to extract meaningful insights
+ Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics
+ Develop and maintain dashboards and reports to communicate findings to stakeholders
+ Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data
+ Support the team in ad hoc analysis and reporting requests
**What** **You'll** **Need**
Required:
+ Current Junior pursuing a degree in Computer Science or a related field
+ Minimum GPA of 3.5 or higher
+ Strong analytical skills and experience with data patterns and trends
+ Excellent critical thinking and problem-solving abilities
+ Familiarity with data analytics tools and techniques
+ Passion for working with data and a keen interest in customer data analysis
Preferred:
+ Understanding data engineering, data warehousing, and ETL processes
+ Familiarity with Python, Java, or Scala
+ Familiarity with Azure data storage
+ Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes.
+ Familiarity with cloud platforms (AWS or Azure,) and related data services
**Physical Demands**
+ Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards
+ Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
+ Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
\#DNP
**Reasonable accommodation statement**
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111.
The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
Business Analyst Intern-St. Anselm College Students Only
Data science internship job in Bedford, NH
Haigh-Farr is a premier antenna design, manufacturing and test house developing products used across all platforms in the aerospace industry including missions to Mars, the International Space Station and products fielded to the U.S. Military supporting the warfighter. In our over 55+ year history we have enjoyed steady, planned growth. Haigh-Farr plans to further grow our team and capabilities to meet increasing demand and to expand into new markets and antenna technologies.
Haigh-Farr is seeking a Business Analyst Intern to support company functions in the finance and accounting area.
Requirements
Responsibilities:
Collect, organize, and analyze data to identify patterns, trends, and insights
Assist in data cleanup and scrubbing from current ERP system to SAP
Help record business requirements, documents, process flow diagrams and user manuals
Work with cross-functional teams, including Marketing and Business Development, to gather requirements and support project initiatives
Other duties may be assigned
Preferred Skills:
Ability to create work product-focused materials / outputs, which may include PowerPoint, Excel models, PowerBI and other Microsoft programs.
Exceptional time management to meet your responsibilities in a complex work environment.
Qualifications:
Enrollment in an undergraduate program at St. Anselm College, with a major in Business, Business Analytics and/or similar fields.
U.S. Citizenship required.
Why should you join Haigh-Farr?
Haigh-Farr is a fast paced, growing company that recognizes employees with a promote-from-within philosophy. We believe in a friendly work environment where employee contributions are well received and a key component to our success. Our facility features state of the art technology and the latest manufacturing and testing capabilities.
Business Analyst Intern-St. Anselm College Students Only
Data science internship job in Bedford, NH
Job DescriptionDescription:
Haigh-Farr is a premier antenna design, manufacturing and test house developing products used across all platforms in the aerospace industry including missions to Mars, the International Space Station and products fielded to the U.S. Military supporting the warfighter. In our over 55+ year history we have enjoyed steady, planned growth. Haigh-Farr plans to further grow our team and capabilities to meet increasing demand and to expand into new markets and antenna technologies.
Haigh-Farr is seeking a Business Analyst Intern to support company functions in the finance and accounting area.
Requirements:
Responsibilities:
Collect, organize, and analyze data to identify patterns, trends, and insights
Assist in data cleanup and scrubbing from current ERP system to SAP
Help record business requirements, documents, process flow diagrams and user manuals
Work with cross-functional teams, including Marketing and Business Development, to gather requirements and support project initiatives
Other duties may be assigned
Preferred Skills:
Ability to create work product-focused materials / outputs, which may include PowerPoint, Excel models, PowerBI and other Microsoft programs.
Exceptional time management to meet your responsibilities in a complex work environment.
Qualifications:
Enrollment in an undergraduate program at St. Anselm College, with a major in Business, Business Analytics and/or similar fields.
U.S. Citizenship required.
Why should you join Haigh-Farr?
Haigh-Farr is a fast paced, growing company that recognizes employees with a promote-from-within philosophy. We believe in a friendly work environment where employee contributions are well received and a key component to our success. Our facility features state of the art technology and the latest manufacturing and testing capabilities.
Part-Time Research Analyst, Data & Surveillance (Massachusetts Research & Education Collaborative)
Data science internship job in Beverly, MA
Job Description
At Kindbridge Research Institute (KRI), we are pioneering work in a space that's still taking shape-gambling-related mental health. As a non-profit at the intersection of research, behavioral health, and community well-being, KRI is leading efforts to better understand gambling behaviors and their impact on vulnerable populations such as veterans, service members, and young adults. Through the Massachusetts Research and Education Collaborative (REC), we are building the statewide data infrastructure needed to understand gambling-related harm and advance prevention, intervention, and policy efforts across the Commonwealth.
We're seeking a Part-Time Data & Surveillance Research Analyst to help transform raw data into meaningful insights that drive action. In this role, you will analyze state surveillance datasets, uncover patterns and disparities across populations, and contribute to the evidence base at the heart of this growing initiative. Your work will directly support communities disproportionately impacted by structural inequities and help bring the OPGS Data to Action Framework to life
Why This Role Matters:
You believe high-quality data should fuel real-world impact, not sit untouched in spreadsheets
You care about health equity and want to uncover the patterns that reveal who is most affected-and why
You are energized by surveillance work, statistical analysis, and the challenge of making complex datasets usable for public health decision-making
You enjoy collaborating with epidemiologists, academics, public health agencies, and community partners
You want to play a central role in building a statewide surveillance system that sheds light on gambling-related harm and supports meaningful policy and prevention strategies
Key Responsibilities:
Conduct statistical analyses of BRFSS, Youth Health Survey, and other state surveillance datasets to identify patterns and risk factors related to gambling-related harm
Manage, clean, and organize large datasets to ensure accuracy, security, and high analytical integrity
Support development and implementation of the Statewide Surveillance System Plan in collaboration with KRI leadership and external partners
Conduct stratified analyses by race, ethnicity, socioeconomic status, gender, and geography to identify inequities and inform targeted interventions
Assist in preparing peer-reviewed manuscripts, reports, and scientific conference materials
Develop analytic summaries for internal planning and external dissemination
Provide analytical support, training, or mentorship to team members and collaborators as needed
Maintain organized data workflows, code documentation, and version control systems
Report to the Project Manager and communicate progress, challenges, and needs
Contribute to a collaborative, inclusive research environment grounded in scientific rigor and continuous learning
Qualifications:
Master's degree (completed or in progress) in Epidemiology, Biostatistics, Public Health, or a related quantitative field
Proficiency in statistical software such as R, SAS, SPSS, or Stata
Experience with public health surveillance data, survey methodology, and large dataset management
Strong understanding of health equity frameworks and disparities research
Experience with BRFSS or other state-level surveillance datasets is a plus
Experience with data visualization tools (e.g., Tableau, Power BI) and IRB/human subjects research processes
Familiarity with behavioral health, addiction, public health, or gambling-related research
Knowledge of Massachusetts public health data systems is beneficial
Ability to work independently with attention to detail, accuracy, and reliability
Work Culture & Values:
Flexible In-Office Schedule: This part-time role includes regular in-person work in our Beverly, MA office for collaboration and team connection
Autonomous & Impact-Driven: We believe in giving our team members the trust, tools, and support to own their work
Collaborative & Innovative: You'll be part of a dynamic, mission-driven team that values open communication, learning, and experimentation
This is more than a project-it's a platform to grow your career, explore new territory, and make a tangible impact. Come join us at KRI!
Salary to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
Colorado Pay Range$30,000-$35,000 USD
Data Analytics Intern
Data science internship job in Wilmington, MA
Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally? About Analog Devices 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 $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at ************** and on LinkedIn and Twitter (X).
At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network.
ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees.
At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles.
Apply now for the opportunity to grow your career and help innovate ahead of what's possible.
As a Data Engineering Intern you'll work closely with the data engineering and analytics teams to gain hands-on experience in building and maintaining data infrastructure while developing predictive models for operational insights. This role offers exposure to data pipeline development, database management, and advanced analytics techniques, including AI/ML. You will collaborate with engineers across the organization on data gathering, curation, analysis, and validation to support scalable solutions.
Key Responsibilities
* Assist in designing and developing ETL pipelines for data extraction, transformation, and loading.
* Work with data warehousing solutions such as Redshift or Snowflake.
* Develop and deploy predictive models for operational efficiency using statistical and machine learning techniques.
* Write and modify scripts in Python or R for data manipulation and analysis.
* Collaborate with cross-functional teams to understand data infrastructure needs and best practices.
* Ensure data integrity, accuracy, and consistency across all processes.
Preferred Qualifications
* Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
* Proven academic or project experience in data analysis and modeling.
Skills & Qualifications
* Basic knowledge of SQL and relational/non-relational databases.
* Familiarity with scripting languages (Python or R); exposure to JavaScript, Apache Spark, and MongoDB is a plus.
* Strong foundation in statistics and predictive modeling; AI/ML exposure preferred.
* Interest in ETL processes, scalable data pipelines, and data architecture.
* Excellent attention to detail and communication skills
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: Internship/Cooperative
Required Travel: No
The expected wage range for a new hire into this position is $22 to $41.
Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
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