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Data Scientist

Spaulding Rehabilitation Hospital

<div>Site: The Spaulding Rehabilitation Hospital Corporation<p></p><p><br>
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.</p><br>
<p></p>
We are seeking an exceptional Data Scientist to play a central analytic role in PREDDICT, a next-generation clinical and research program at Spaulding Rehabilitation. Focused on predicting, preventing, and improving long-term health and wellness outcomes across high-risk populations, PREDDICT brings together precision rehabilitation medicine, data science, and digital health to redefine how injury and recovery are understood and treated&mdash;extending not only lifespan, but HealthSpan, the period of life spent in good health.<br>
Rehabilitation settings care for people with life-changing injuries such as brain injury, stroke, burns, spinal cord injury, and limb loss. PREDDICT leverages electronic health records and advanced analytics, including machine learning, to infuse data-driven decision-making into care during a pivotal time in patients&rsquo; lives. The program integrates clinical care, longitudinal research, advanced analytics, and system-level implementation to move beyond siloed studies and toward scalable, real-world impact. This role will build the foundation of that mission.<br>
<br>
The Data Scientist will hold and grow expertise in the Mass General Brigham (MGB) electronic health record (EHR) including an understanding of key rehabilitation data elements, their location in the EHR, and documentation workflows. They will work closely with physician-scientists, clinical teams, research staff, and external partners to guide responsible data utilization throughout the lifecycle from extraction through visualization. It is an opportunity to help shape how complex clinical data are transformed into insight, prediction, and evidence that directly informs care delivery and long-term outcomes in rehabilitation and disability health.<br>
<br>
The Data Scientist will work in a highly matrixed environment, collaborating across the HealthSpan Lab, the Rehabilitation Outcomes Center at Spaulding, and MGB Digital.<br>
<br>
About the HealthSpan Lab:
<br>
The HealthSpan Lab is committed to advancing our understanding of lifelong health. We study the biological, behavioral, and environmental factors that influence healthy aging and long-term function. Our research aims to uncover early markers of decline, identify mechanisms of resilience, and develop interventions that can prevent disease before it begins. By generating evidence across systems and stages of life, we work to improve health outcomes and promote lifelong well-being.
<br>
<br>
About the Rehabilitation Outcomes Center at Spaulding (ROCS):<br>
The Rehabilitation Outcomes Center at Spaulding is a central hub for researchers, clinicians, and the broader rehabilitation community advancing data-powered care across the full rehabilitation journey&mdash;from hospital to home. ROCS offers robust infrastructure for collaboration among investigators, clinicians, and people with lived experience, supported by platforms such as podcasts and open scientific meetings. With an emphasis on Learning Health Systems, ROCS facilitates access to electronic health record analytics, standardized outcome measures, and implementation science expertise, while also offering mentorship and operational support to investigators through its established partnerships and training programs. We make rehab data smarter and better connected so care decisions are based on solid evidence and personalized to the individual. By bridging specialties and systems, we aim to reduce disparities and improve outcomes for people with disabilities&mdash;ensuring research translates into real-world impact.<br>
<br>
Specific responsibilities may include:<br>
<ul><li>Maintain and grow expertise on rehabilitation EHR data structure, storage and retrieval, and computing processes. Maintain working knowledge of clinical documentation workflows and informatics systems. Educate other team members on these functions.</li><li>Design and evaluate predictive models and advanced algorithms for rehabilitation recovery trajectories.</li><li>Design, build, and maintain reports and dashboards to convey data insights in real-world clinical and research settings. Ensure visualizations are tailored to meet the specific needs of the rehabilitation community in a Learning Health System framework.</li><li>Collaborate with researchers, clinicians, clinical informatics staff, and information systems analysts to design research studies.
</li><li>Draw conclusions or make predictions, based on data summaries or statistical analyses.</li></ul><p></p><p><b><br>
Job Summary</b></p>
Summary<br>
Responsible for analyzing data, uncovering the underlying data patterns and logic, and developing data-driven applications. They will work towards developing solutions for the entire problem-solving cycle: find/prioritize the problems, research the best algorithms to solve the problems, design robust, practical solvers, and implement them.<br>
<br>
Essential Functions<br>
<ul><li>Analyze complex and high-dimensional clinical and operational data for dependencies, patterns, outliers, inaccuracies, and validity.
</li></ul><br>
<ul><li>Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and/or advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries.
</li></ul><br>
<ul><li>Contribute to the design and evaluation of optimal data-driven metrics (such as physician/facility performance criteria, bottleneck metrics, productivity limits, processing delay/error reports, etc.).
</li></ul><br>
<ul><li>Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
</li></ul><br>
<ul><li>Generate and test hypotheses and analyze and interpret the results.</li></ul><p></p><div><div><div><div><div><div><div><p><b><br>
Qualifications</b></p></div></div></div></div></div></div></div><div>
Education<br>
Bachelor's Degree Related Field of Study required or Master's Degree Related Field of Study preferred<br>
<br>
Can this role accept experience in lieu of a degree?<br>
Yes<br>
<br>
Experience<br>
Experience working in data science-type positions and with large data sets 2-3 years preferred<br>
<br>
Knowledge, Skills and Abilities<br>
<ul><li>Ability to create reports and dashboards with Tableau.</li><li>Skilled in data analysis with Python and SQL.</li><li>Knowledge of statistics.</li><li>Knowledge of machine learning.</li><li>Preferred SQL database management and administrative knowledge.</li><li>Practiced knowledge of numerical optimization algorithms.</li></ul></div><p></p><div><div><div><div><div><div><div><p><b><br>
Additional Job Details (if applicable)</b></p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p><b><br>
Remote Type</b></p></div></div></div></div></div></div></div>
Hybrid<p></p><div><div><div><div><div><div><div><p><b><br>
Work Location</b></p></div></div></div></div></div></div></div>
300 First Avenue<p></p><div><div><div><div><div><div><div><p><b><br>
Scheduled Weekly Hours</b></p></div></div></div></div></div></div></div>
40<p></p><div><div><div><div><div><div><div><p><b><br>
Employee Type</b></p></div></div></div></div></div></div></div>
Regular<p></p><div><div><div><div><div><div><div><p><b><br>
Work Shift</b></p></div></div></div></div></div></div></div>
Day (United States of America)<p></p><p><b><br>
Pay Range</b></p>
$75,275.20 - $109,553.60/Annual<p></p><p><b><br>
Grade</b></p>
6<br>
<p></p>
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.<p></p><div><div><div><div><div><div><div><p><b><br>
EEO Statement:</b></p></div></div></div></div></div></div></div>
1400 The Spaulding Rehabilitation Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran&rsquo;s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.<p></p><h2 class="jobSectionHeader"><b><br>
Mass General Brigham Competency Framework</b></h2><div><div><p>
At Mass General Brigham, our competency framework defines what effective leadership &ldquo;looks like&rdquo; by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.</p></div></div></div>

Data Scientist, PREDDICT Project

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
<br>
Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
<br>
A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence, AGI Data Services

Akkodis Group Nordics

<div>
 Akkodis is seeking a
 <strong>
  Data Engineer
 </strong>
 for a
 <strong>
  Contract
 </strong>
 with a client in
 <strong>
  O'Fallon, MO / Purchase, NY / Boston, MA.
 </strong>
 The ideal candidate is responsible for building secure, reliable, and scalable data pipelines across enterprise platforms.
 <br/>
 <br/>
 <strong>
  Rate Range:
 </strong>
 $53/hour to $64/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
 <br/>
 <br/>
 <strong>
  Data Engineer Job Responsibilities Include
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and develop complex, reusable data workflows using Apache Airflow for scheduling, orchestration, and monitoring of enterprise data pipelines.
  </li>
  <li>
   Build and optimize high‑volume data ingestion and streaming pipelines using Apache NiFi with custom processors and controller services.
  </li>
  <li>
   Develop and maintain large‑scale data processing jobs using Apache Spark and integrate them with Airflow and NiFi frameworks.
  </li>
  <li>
   Implement and manage object storage solutions using MinIO and AWS S3 to ensure data availability, durability, and performance.
  </li>
  <li>
   Secure data pipelines and platforms using SSL/TLS, mTLS, certificate management, IAM, and Java Keystores.
  </li>
  <li>
   Perform Linux/Unix system administration tasks, including environment setup, performance tuning, monitoring, troubleshooting, and automation via shell scripting.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Engineering, or a related technical field preferred.
  </li>
  <li>
   6&ndash;8 years of experience in data engineering or large‑scale data platform development.
  </li>
  <li>
   Strong hands‑on expertise with Apache Airflow and Apache NiFi for orchestration, high‑volume data ingestion, and workflow automation.
  </li>
  <li>
   Proven experience with Spark, Java/Python, Linux environments, and secure cloud‑based data solutions using AWS S3, IAM, and certificate management.
   <br/>
   <br/>
  </li>
 </ul>
 If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at
 <strong>
  Deep.Kumar@
 </strong>
 <strong>
  akkodisgroup.com.
  <br/>
  <br/>
 </strong>
 <strong>
  Pay Details:
 </strong>
 $53.00 to $64.00 per hour
 <br/>
 <br/>
 Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
 <br/>
 <br/>
 Equal Opportunity Employer/Veterans/Disabled
 <br/>
 <br/>
 Military connected talent encouraged to apply
 <br/>
 <br/>
 To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
 <br/>
 <br/>
 <ul>
  <li>
   The California Fair Chance Act
  </li>
  <li>
   Los Angeles City Fair Chance Ordinance
  </li>
  <li>
   Los Angeles County Fair Chance Ordinance for Employers
  </li>
  <li>
   San Francisco Fair Chance Ordinance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Massachusetts Candidates Only:
 </strong>
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
</div>


Data Engineer

Data Engineer (Python & SQL)

Yogi Careers

<div>
 <strong>
  <strong>
   Overview:
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  We&rsquo;re looking for a Data Engineer to build and maintain the data infrastructure that powers machine learning initiatives. You&rsquo;ll work at the intersection of software engineering and data science.
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Category:
 </strong>
 Data Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 Boston
 <br/>
 <br/>
 Apply for this position
 <br/>
 <br/>
 Full Name *
 <br/>
 <br/>
 Email *
 <br/>
 <br/>
 Phone *
 <br/>
 <br/>
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 <br/>
 <br/>
 Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx
 <br/>
 <br/>
 By using this form you agree with the storage and handling of your data by this website. *
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Category:
 </strong>
 Data Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 Boston
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
  </li>
 </ul>
</div>


Data Engineer – AI/ML Data Infrastructure

Criteo

<div>
 What You'll Do:
 <br/>
 <br/>
 <ul>
  <li>
   Partner with commercial stakeholders to deliver client-facing business reviews, including performance deep-dives, advanced analyses, optimization recommendations, and forecasting strategies that drive incremental revenue
  </li>
  <li>
   Design, manage, analyze, and communicate results of controlled A/B tests
  </li>
  <li>
   Create and share market trends and benchmarks to support strategic planning
  </li>
  <li>
   Collaborate with Product Analytics to execute on performance-improving initiatives
  </li>
  <li>
   Influence the Product Roadmap by synthesizing client needs into clear, data-backed recommendations for product and R&amp;D teams
  </li>
  <li>
   Leverage the partnership with our Global Client Operations Center to standardize and automate recurring workflows, freeing time for deeper strategic analyses
  </li>
  <li>
   Develop subject matter expertise in multiple growth areas, serving as a go-to resource for the team and building high-impact, client-facing collateral
  </li>
  <li>
   Troubleshoot and resolve campaign delivery and performance issues in time-sensitive, high-impact scenarios, proactively reframing underperformance conversations with clear narratives, root-cause analysis, and concrete action plans.
  </li>
  <li>
   Stay informed of industry advancements in AdTech, analytics, forecasting, and attribution
  </li>
  <li>
   Effectively communicate project timelines, risks, and results to stakeholders
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Who You Are:
 <br/>
 <br/>
 <ul>
  <li>
   Minimum 3+ years of full-time, analytics-relevant experience
  </li>
  <li>
   Bachelor&rsquo;s degree in a quantitative field or equivalent practical experience; advanced degree a plus
  </li>
  <li>
   Native-level English fluency
  </li>
  <li>
   Proven ability to independently structure analyses and provide strategic recommendations that influence business outcomes
  </li>
  <li>
   Strong analytical and problem-solving skills with the ability to manipulate complex data sets, identify patterns, and develop actionable insights at scale
  </li>
  <li>
   Skilled in data storytelling and crafting impactful presentations for both technical and non-technical audiences
  </li>
  <li>
   Conceptual and practical understanding of statistics, A/B testing, and experimental design
  </li>
  <li>
   Proficiency in SQL, Python, and Tableau for automating analyses and creating compelling visualizations
  </li>
  <li>
   Demonstrated ability to manage multiple stakeholders, set expectations, prioritize, and drive alignment across cross-functional teams
  </li>
  <li>
   Comfortable with ambiguity; able to evaluate trade-offs across multiple analytics approaches and recommend the most impactful path
  </li>
  <li>
   A proactive, collaborative teammate who can also lead projects and knowledge-sharing initiatives within the team
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we&rsquo;d love to see your application!
 <br/>
 <br/>
 Who We Are:
 <br/>
 <br/>
 Criteo is a leader in commerce media, helping brands, agencies, and publishers create meaningful consumer connections through AI-powered advertising solutions. We&rsquo;re shaping a more open and sustainable digital future for advertising.
 <br/>
 <br/>
 At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment.
 <br/>
 <br/>
 We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs&mdash;never on non-job-related factors or legally protected characteristics.
 <br/>
 <br/>
 What We Offer:
 <br/>
 <br/>
 🏢 Ways of working &ndash; Our hybrid model blends home with in-office experiences, making space for both.
 <br/>
 <br/>
 📈 Grow with us &ndash; Learning, mentorship &amp; career development programs.
 <br/>
 <br/>
 💪 Your wellbeing matters &ndash; Health benefits, wellness perks &amp; mental health support.
 <br/>
 <br/>
 🤝 A team that cares &ndash; Diverse, inclusive, and globally connected.
 <br/>
 <br/>
 💸 Fair pay &amp; perks &ndash; Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.
 <br/>
 <br/>
 Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.
 <br/>
 <br/>
 For employees based in the US, certain roles at Criteo are eligible for additional rewards, including quarterly or annual bonus and restricted stock units. US-based employees receive access to healthcare, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, life insurance, family forming and wellness benefits, Flexible Work financial support, learning opportunities, and a robust annual leave plan including volunteer time off and summer vacation days.
 <br/>
 <br/>
 The US base salary pay range for this position per year is:
 <br/>
 <br/>
 $94,900 - $117,000
</div>


Data Analyst II

Explore 318+ Data scientist in Boston this May. Find roles across top companies and apply now to boost your career.