data analyst

bi developer / data analyst Jobs in Boston

bi developer / data analyst

business strategy and data analyst Jobs in Boston

business strategy and data analyst

data analyst, ambulatory clinical operations Jobs in Boston

data analyst, ambulatory clinical operations

data architect

data scientist

JPA Health

<div><div><h2 class="jobSectionHeader"><b>About JPA Health</b></h2>
<p>
JPA Health is a fully integrated marketing, communications and medical communications agency for clients ranging from emerging biotech to established pharmaceutical companies and public health organizations. We work exclusively within the health sector. We share our clients&rsquo; commitment to making people healthier. In fact, some might say we are obsessed with improving and protecting lives. Check out our sizzle reel!</p></div><div><h2 class="jobSectionHeader"><b>
The Role</b></h2>
<p>
JPA is searching for a<b> Data Scientist, Marketing Analytics, </b>to join our Integrated Intelligence team. You&rsquo;ll blend analytics, applied statistics, and development to transform omnichannel marketing data into models, dashboards, and insights that fuel behavior change. You&rsquo;ll work across teams to design, measure, and optimize life sciences marketing programs across audiences and channels.</p>
<p>
This position is a <b>full-time, hybrid </b>role reporting to any JPA office (i.e., Boston, Washington, DC, Philadelphia, New York City) 2 days per week and working remotely 3 days per week.</p>
<h2 class="jobSectionHeader"><b>
The Responsibilities</b></h2>
<ul><li>Design and implement data pipelines to ingest, transform, and QA multi-source marketing data (paid, owned, earned, CRM, web, email, social, events, qualitative).</li>
<li>Build statistical models (e.g., regression, classification, forecasting, clustering) to identify performance drivers, segment audiences, and predict outcomes.</li>
<li>Develop fit-for-purpose marketing attribution and contribution approaches based on available data; quantify incrementality where feasible.</li>
<li>Create dashboards and automated reporting that translate complex results into simple, visual stories for technical and non-technical stakeholders.</li>
<li>Plan and analyze A/B and multivariate tests; estimate impact and uncertainty; recommend next-best actions and channel allocations.</li>
<li>Partner with engagement specialists and performance analytics teams to translate insights into channel, message, and audience optimizations throughout the campaign lifecycle.</li>
<li>Document methods, code, and data dictionaries; champion data quality, reproducibility, and privacy-aware measurement.</li>
<li>Present findings to clients; manage timelines and priorities across concurrent projects.</li>
</ul><h2 class="jobSectionHeader"><b>About You</b></h2>
<p>
Our ideal candidate <b>must have:</b></p>
<ul>
<li>Bachelor&rsquo;s degree in a quantitative field (e.g., statistics, mathematics, economics, engineering) or equivalent experience.</li>
<li>3&ndash;5 years in life sciences marketing analytics, data science, or a related role within an agency or in-house team.</li>
<li>Experience with privacy-aware measurement techniques and working within regulated industries, especially life sciences.</li>
<li>Hands-on coding experience for data wrangling, analysis, and statistical modeling, including version control and code review practices, including working familiarity with Python, R or SQL.</li>
<li>Strong grasp of experimental design, statistical inference, and causal thinking; able to communicate assumptions and limitations clearly.</li>
<li>Experience building automated dashboards and reports; adept at data visualization and storytelling using tools like Tableau and PowerBI.</li>
<li>Familiarity with omnichannel datasets and measurements across paid, owned, and earned media.</li>
<li>Comfortable working with imperfect data and designing solutions that scale.</li>
<li>Excellent communication skills; client-facing presence; collaborative approach with cross-functional partners.</li>
</ul><h2 class="jobSectionHeader"><b>What Makes Us Different</b></h2>
<p>
JPA Health offers you the opportunity to work with purpose as you achieve extraordinary results for our clients. You will elevate your career in an environment that thrives at the intersection of wellness, connection, and compassion. Our mission to help people live healthier lives begins with you.</p>
<p>
Our approach prioritizes compassion to ensure you and your family flourish. We promote flexibility with adaptable work arrangements for a balanced personal and professional life. Our Collaboration Days are designed to strengthen relationships and enhance well-being. Respect, inclusion, camaraderie, and connection &ndash; this is the heart of our agency&rsquo;s ethos. We elevate each other. We work collaboratively. And we push ourselves to think bigger.</p>
<p><b>
In addition, JPA Health offers:</b></p>
<ul>
<li>Paid time off when you need it most: 20+ days PTO, 10 holidays, Sabbatical, bereavement &amp; compassion leave, parental leave, civic duty, volunteer time and year-end office closure.</li>
<li>Unlimited access to LinkedIn Learning, internal webinars through JPA&rsquo;s Elevate Institute, tuition reimbursement, paid professional development, and paid learning and development time.</li>
<li>An impressive and comprehensive benefits package that supports you and your family&rsquo;s physical, mental and financial well-being.</li>
<li>Competitive pay and opportunities to advance. The anticipated starting pay for this role is between $107,000 and $120,000 annually, based on a variety of factors including but not limited to experience, qualifications, and location. You may also be eligible for performance-based bonuses. We review compensation annually and evaluate readiness for promotions every quarter.</li></ul></div><p></p><div><p><br>
At JPA Health, we are committed to fostering a culture of Diversity, Equity, and Inclusion (DEI). We believe that our strength lies in the diversity of our team, and we strive to create an environment where every individual feels valued, respected, and heard. We are dedicated to promoting equity in all aspects of our work, ensuring that all employees have equal access to opportunities and resources. We are inclusive, welcoming individuals of all races, genders, sexual orientations, religions, national origins, disabilities, and ages. Our commitment to DEI extends beyond our organization, influencing the work we do and the partnerships we build. We believe that by embracing DEI, we can drive innovation, enhance our services, and contribute to a healthier society.</p>
<p>
We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require an accommodation in order to apply for a position with JPA Health, please contact us for assistance at Recruiting@jpa.com.</p></div></div><p></p>

Data Scientist, Marketing Analytics

CVS Health

<div><p>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.</p><p></p><p>
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.</p><p></p><p><b>
Position Summary</b></p><p>
We are seeking a <b>Lead &ndash; Agentic AI &amp; Decision Intelligence</b> to pioneer the next generation of analytics and decision-making. This role will focus on <b>building and scaling agentic AI frameworks, conversational analytics, and decision intelligence systems</b> that transform how our Pharmacy supply chain business interacts with data. You will design and execute a <b>customer-centric analytics strategy</b> powered by AI agents, LLMs, and generative AI, ensuring insights are not just delivered, but acted upon. This is a highly visible role where you will own the <b>vision, strategy, and execution of AI-driven decision systems</b>, positioning the organization at the forefront of intelligent business analytics.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
5+ years of experience in advanced analytics, <b>decision science, applied AI/ML</b></li><li>
5+ years hands-on experience with <b>LLMs, generative AI, or conversational AI frameworks</b> (e.g., LangChain, AutoGen, CrewAI, RAG).</li><li>
5+ years programming skills in <b>Python and SQL</b>, with experience deploying AI systems in cloud environments (GCP, AWS, or Azure).</li><li>
5+ years' experience in at least one area of advanced modeling: <b>predictive analytics, reinforcement learning, NLP, or causal inference</b>.</li><li>
3+ years' experience <b>translating complex AI concepts into business impact</b>, including stakeholder alignment and business value sizing.</li><li>
3+ years' experience leading end-to-end <b>AI-driven solution delivery</b>: from data foundation to model orchestration to front-end adoption.</li><li>
3+ years' experience exhibiting strong communication, storytelling, and <b>customer engagement skills</b>, with a passion for building solutions that are intuitive and impactful.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience implementing <b>agentic AI systems</b> for conversational analytics, autonomous reporting, or decision support.</li><li>
Familiarity with <b>Vertex AI and Google Cloud Platform</b>, or equivalent enterprise AI platforms.</li><li>
Familiarity with BI tools (Tableau, Looker, Power BI) and analytics engineering (Snowflake, modern warehouses).</li><li>
Background in <b>healthcare or pharmacy analytics</b>, with a strong interest in improving outcomes through intelligent decision systems.</li><li>
Experience with <b>UI/UX design, customer journey mapping, and design thinking</b> (Figma experience is a plus).</li><li>
Knowledge of <b>data observability, governance, and AI ethics</b> to ensure trustworthy, transparent decision intelligence systems.</li></ul><p></p><p><b>
Education</b> <b>Qualifications</b></p><ul><li>
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.</li><li>
Master&rsquo;s degree or PhD preferred</li></ul><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$106,605.00 - $284,280.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 11/10/2025<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Lead Data Scientist – Agentic AI & Decision Intelligence

Tufts Medical Center

<div><div><p><b>General</b><b> Summary</b></p></div><div><p>
The Sr. Statistical Associate/Data Scientist will lead research projects in the
<br>
area of statistical genetics and genomics in collaboration with investigators
<br>
in the Center for Quantitative Methods and Data Science (QM&amp;DS) at Tufts
<br>
Medical Center. The center was established in 2020 by Dr Paola Sebastiani
<br>
and is supported by several grants from NIH that involve institutions
<br>
across the US. QM&amp;DS currently comprises several biostatistics and
<br>
bioinformatics investigators who are leaders in genetic and genomic
<br>
analyses of observation studies in human healthy aging and extreme
<br>
longevity. The Sr. Statistical Associate/Data Scientist will have many
<br>
opportunities for collaboration with QM&amp;DS investigators and lead
<br>
research projects that fit the vision of the center.</p></div><p></p><div><p><b><br>
Job Overview</b></p></div><div><p>
This position oversees and coordinates data analysis and data management for clinical investigators. Provides analytic, programming, and data coordination support for researchers, grants, and research projects. Activities include the development and implementation of research databases, data coordination, and analytic plans. Works with principal investigator in the development of protocols and study plans, oversees data management and coordination, and supervises data analyses process. This position is also involved with training of new researchers in research methodologies, coordination of research activities, and the application of advanced programming and statistical methods.</p></div><p></p><div><p><b><br>
Job Description</b></p></div><div><p><b>
Minimum Qualifications</b><b>:</b></p></div><div><p>
1. Advanced degree (Master&rsquo;s or PHD) in Statistics, Biostatistics, or a related field.</p></div><div><p>
2. Six (6) years of experience in a medical research environment.</p></div><p></p><div><p><b><br>
Preferred Qualifications:</b></p></div><div><p>
1. Experience in computer programming, managing, and analyzing large databases and data sets.</p></div><div><p>
2. Experience with SAS or R programming, and other relevant statistical analysis tools.</p></div><p></p><div><p><b><br>
Duties and Responsibilities</b><b>:</b> The duties and responsibilities listed below are intended to describe the general nature of work and are not intended to be an all-inclusive list. Other duties and responsibilities may be assigned.</p></div><p></p><div><p><br>
1. Provides leadership to a research project in the development and implementation of data management and analytic plans.</p></div><div><p>
2. Collaborates significantly in development of grants and provides leadership in their implementation.</p></div><div><p>
3. Collaborates on original research that demonstrates the development or application of new research methodologies.</p></div><div><p>
4. Provides leadership in organizing or administering research components.</p></div><div><p>
5. Assists with teaching and mentoring of clinical researchers.</p></div><div><p>
6. Directly manages and supervises staff: writes and/or contributes to performance evaluations.</p></div><div><p>
7. Participates in the general statistical work of the Department including attending weekly research meetings and meetings with other staff statisticians.</p></div><div><p>
8. Participates in the development of courses and seminars.</p></div><div><p>
9. Actively participates in research seminars and lectures.</p></div><p></p><div><p><b><br>
Physical Requirements:</b></p></div><div><p>
1. Normal office environment.</p></div><div><p>
2. Frequent typing/computer keying.</p></div><p></p><div><p><b><br>
Skills &amp; Abilities:</b></p></div><div><p>
1. Strong computer skills, including proficiency with MS Office (Word, Excel and Power Point), and familiarity with databases (e.g., experience using MS Access).</p></div><div><p>
2. Analytical skills to appropriately develop and modify complex testing, reviewing of tests, and interpretation of findings.</p></div><div><p>
3. Ability to be meticulous and detail-oriented.</p></div><div><p>
4. Strong organizational skills with the ability to handle competing demands in order to meet project timelines.</p></div><div><p>
5. Ability to work independently and collaborate within a team environment.</p></div><div><p>
6. Ability to multi-task and prioritize responsibilities as needed.</p></div><div><p>
7. Clinical or scientific knowledge and techniques relevant to area of research.</p></div><div><p>
8. Demonstrated care in following procedures and diligence in recordkeeping.</p></div><div><p>
9. Ability to communicate with peers as well as researchers.</p></div></div>

Senior Statistician Associate

HockeyStack

<div><p><b>HockeyStack</b> is an Applied AI company on a mission to automate sales, marketing, and customer success for B2B companies. <b>We build the most complete and accurate picture of the B2B buyer</b> by integrating with every tool your team uses, partnering with third-party data providers, and deploying custom AI research agents. <b>We use this data to power applications that automate high-value, high-complexity workflows</b> across the go-to-market and revenue teams. Our core products include:</p><ul><li><p><b>
Marketing Intelligence</b> &ndash; instantly answers questions like &ldquo;What led to that sudden drop in pipeline?&rdquo;</p></li><li><p><b>
Account Intelligence</b> &ndash; surfaces next-best actions to help reps move target accounts toward conversion</p></li></ul><p>
Since launching in January 2023, we&rsquo;ve come through Y Combinator, raised a $26M Series A led by Bessemer. We&rsquo;re growing 3&times; year-over-year, have hit multimillion ARR, and process over 60 TB of GTM data monthly. Based at our San Francisco HQ, we operate fully in-person, move fast and hire people who are ready to win.</p><p></p><h1 class="jobSectionHeader"><b>
Your Mission</b></h1><p>
We are seeking a <b>customer-focused Data Analyst</b> to help our clients answer their most important business questions around GTM revenue performance and marketing spend optimization. This is not a heavy data-engineering role; instead, you&rsquo;ll use HockeyStack&rsquo;s platform and available data to <b>guide customers toward impactful insights</b> and recommendations.</p><p></p><h1 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h1><ul><li><p>
Partner with customers to solve their revenue goals, challenges, and questions.<br>
Use HockeyStack&rsquo;s platform to uncover insights and deliver clear, actionable recommendations.</p></li><li><p>
Translate complex metrics into straightforward explanations for non-technical audiences.</p></li><li><p>
Be the Data Partner to support Customer Success Managers in delivering strategic guidance to clients.</p></li><li><p>
Identify patterns and trends in marketing and sales data to advise customers on where to focus efforts.</p></li><li><p>
Collaborate with internal teams to continuously enhance the customer experience.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Core Strengths</b></h1><ul><li><p><b>
Business Insight:</b> Ability to connect data to revenue outcomes and business strategy.</p></li><li><p><b>
Customer Orientation:</b> Skilled at understanding client goals and delivering value through insights.</p></li><li><p><b>
Analytical Thinking:</b> Comfortable framing and answering complex questions with data-driven logic.</p></li><li><p><b>
Clear Communication:</b> Able to translate analytics into simple, impactful recommendations.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h1><ul><li><p>
Ownership-first mindset &mdash; you take initiative, move fast, and figure things out</p></li><li><p>
Thrive in early-stage, high-urgency environments where speed and impact matter</p></li><li><p>
Curious, self-aware, and feedback-driven &mdash; you bring energy, not ego</p></li><li><p>
See this role as a defining chapter &mdash; not a stepping stone or side quest</p></li></ul><ul><li><p>
Bachelor&rsquo;s degree in Mathematics, Statistics, Data Science, Applied Economics, or a related field.</p></li><li><p>
1&ndash;3 years of experience in Data Analytics or Consulting with Analytical focus. Strong preference for candidates with Marketing Analytics or GTM/Sales Analytics Experience.</p></li><li><p>
Strong problem-solving skills with the ability to structure and answer key business questions.</p></li><li><p>
Excellent communication skills to convey data-driven insights to senior stakeholders.</p></li><li><p>
Familiarity with SaaS, B2B marketing, or revenue analytics is a strong plus.</p></li><li><p>
Ability to think strategically and recommend actions based on data, without needing to deep-dive into raw datasets.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Why Join Now?</b></h1><p>
We&rsquo;re at an inflection point. The product is proven, the market is massive, and the opportunity is wide open. You&rsquo;ll be joining a company with real traction, rapid growth, and meaningful backing&mdash;where every person still shapes the outcome. This isn&rsquo;t just a job. It&rsquo;s a chance to build something category-defining with people who care deeply about doing it right.</p><p>
We&rsquo;re building a high-performing, culture at our <b>San Francisco HQ</b>, where the team collaborates shoulder-to-shoulder. While that's our standard for most roles, this position is uniquely flexible&mdash;offering remote options for exceptional candidates based in the U.S. or internationally, as long as you're <b>fully available during U.S. business hours</b>. The base salary range for this role is <b>$40,000 to $120,000 USD</b>, adjusted for location, experience, and qualifications.</p><p>
HockeyStack is proud to be an <b>Equal Opportunity Employer</b>. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We celebrate diversity and are committed to fostering an inclusive environment for all employees.</p></div>

Data Analyst

Daice Labs

<div>
 <p>
  <strong>
   Company Description
  </strong>
 </p>
 <p>
  <span>
   Daice Labs is building hybrid AI frameworks that integrate today's models into systems that learn continuously. Founded by MIT CSAIL scientists, we focus on building new architectures by combining LLMs/DL with symbolic reasoning and bio-inspired system design. Operating on two tracks, our Product Lab develops industry-specific solutions for collaborative human teams + AI co-building and co-owning vertical applications, while our Research Lab explores how principles of natural intelligence can guide systems design of new hybrid AI architectures. Join us in taking the next leap in productivity through collaborative innovation.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Description
  </strong>
 </p>
 <p>
  This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for analyzing data, utilizing data analytics tools, statistical techniques, and data modeling to draw insights and support decision-making. The role involves preparing reports, visualizing data findings, and communicating outcomes to stakeholders effectively.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Analytical Skills and general Data Analytics
  </li>
  <li>
   Strong knowledge of Statistics and Data Modeling
  </li>
  <li>
   Excellent Communication skills to convey data insights
  </li>
  <li>
   Experience with data visualization tools and techniques
  </li>
  <li>
   Ability to work independently in a remote environment
  </li>
  <li>
   Bachelor&rsquo;s degree in Data Science, Mathematics, Statistics, or related field
  </li>
 </ul>
</div>


Verndale

<div><p><b>About the Data Engineer Position</b></p><p>
At Verndale, we are building a next-generation Data &amp; Analytics practice designed to help organizations transform their complex data ecosystems into engines of clarity and intelligent action. Our vision is to empower clients to unlock hidden opportunities, optimize operations, and accelerate profitable growth through modern data architectures, trusted data management, advanced analytics, and AI-driven solutions. As part of a digital experience services firm with a strong heritage in customer experience and marketing technology, our Data &amp; Analytics team extends Verndale&rsquo;s core capabilities to deliver seamlessly integrated, insight-driven solutions that fuel personalization, operational excellence, and strategic foresight. We are pragmatic innovators, grounded in Verndale&rsquo;s entrepreneurial culture, who design scalable, well-governed data platforms and embed intelligence into business workflows, enabling clients to thrive in the era of generative AI and beyond.
</p><p><b>What You&rsquo;ll Do</b></p><ul><li>
Design, build, and maintain robust ETL/ELT pipelines (batch and streaming) that move data from diverse source systems into analytics, AI, and machine learning platforms.
</li><li>Develop and optimize data architectures (data lakes, warehouses, lakehouses, marts) that support real-time and batch analytics, ML workflows, and personalization use cases.
</li><li>Build automation and orchestration for data pipelines using modern workflow tools (Airflow, Prefect, dbt, Azure Data Factory, etc.).
</li><li>Partner with data architects, analysts, and client stakeholders to translate business requirements into technical designs and deliver data products with impact.</li><li>
Ensure data quality, lineage, observability, and security through validation, monitoring, and governance best practices.
</li><li>Optimize performance and cost-efficiency of pipelines and storage, leveraging partitioning, indexing, and query tuning.
</li><li>Support cloud-first architectures across AWS, Azure, and GCP, integrating services for compute, storage, and real-time data processing.
</li><li>Contribute to proofs of concept, platform migrations, and modernization efforts for client data platforms.
</li><li>Mentor junior engineers and contribute to the team&rsquo;s culture of technical excellence and continuous learning.
</li></ul><p><b>What We&rsquo;re Looking For
</b></p><ul><li>2&ndash;4+ years of experience in building production-grade data pipelines and data systems.</li><li>
Strong proficiency in SQL, Python, or Java/Scala, with experience in distributed data frameworks (Apache Spark, Presto, EMR)</li><li>
Experience with modern data platforms (Snowflake, BigQuery, Redshift, Databricks, Synapse)</li><li>
Hands-on skills with streaming technologies (Kafka, Kinesis, Pub/Sub) and real-time data ingestion</li><li>
Knowledge of data modeling principles and schema design for analytics and operational systems</li><li>
Familiarity with DevOps and CI/CD practices for data, including version control (GitHub/GitLab), testing, and deployment automation.</li><li>
Exposure to data governance, security, compliance, and observability frameworks (lineage, monitoring, metadata/catalog tools)</li><li>
Ability to collaborate in a consulting/client-facing environment, balancing technical depth with pragmatic delivery</li><li>
Employs generative AI (e.g. ChatGPT, Gemini, Claude) to accelerate code development, ETL pipeline design, and troubleshooting processes.</li><li>
Excellent communication skills, with the ability to explain trade-offs and design choices to both technical and non-technical stakeholders.
</li></ul><p><b>Nice-to-Have Skills</b></p><ul><li>
Experience with MLOps and preparing data pipelines for ML/AI model training, deployment, and monitoring</li><li>
Familiarity with modern data stack tools (dbt, Fivetran, Matillion, Terraform) and infrastructure-as-code practices</li><li>
Background in real-time personalization or event-driven architectures</li><li>
Exposure to NoSQL and graph databases (MongoDB, Cosmos DB, DynamoDB, Neo4j).
</li><li>Experience with containerization/orchestration platforms (Docker, Kubernetes, ECS).
</li><li>Familiarity with metadata, semantic layers, or catalog tools (e.g. Unity Catalog, Data Catalogs) and/or data observability tooling.</li><li>
Prior experience in a digital experience or consulting services environment, ideally integrating data with DXP, MarTech, or Commerce platforms.</li><li>
Contributions to open source, thought leadership, or participation in data/AI community events.</li></ul><h2 class="jobSectionHeader"><b>
Ten Great Reasons to Work at Verndale</b></h2><ul><li>
We are a rapidly growing company that is just as entrepreneurial today as when we were founded in 1998.</li><li>
We are relentlessly curious and enthusiastically solve our clients&rsquo; complex business problems through technology, data, and design.</li><li>
We foster a culture that enables every person in the organization to do the best work of their career.</li><li>
We offer regular training and professional development to move careers forward.</li><li>
Client and employee satisfaction are our two most important business metrics.</li><li>
We celebrate and champion diversity, equity, and inclusion.</li><li>
We offer generous paid company holidays, vacation, and paid sick time to every employee starting on day one.</li><li>
We provide top-of-the-line benefits including health, dental, vision, 401K, LTD, STD, Life Insurance, EAP, HRA and more.</li><li>
We support a healthy work/life balance.</li><li>
We are fully remote enabled and embrace the evolving definition of the workplace.</li></ul><h2 class="jobSectionHeader"><b>
About Verndale</b></h2><p>
Verndale is a digital experience agency dedicated to driving growth by helping businesses create meaningful human connections in an increasingly digital world. With offices in Boston, Montreal, Los Angeles, Quito, and hubs across the Americas, we partner with marketing and technology leaders to deliver personalized web, mobile, and ecommerce solutions that elevate customer experiences.<br>
At Verndale, we thrive on collaboration and innovation, offering a full range of services that span strategy, design, development, personalization, SEO, analytics, and digital advertising. We celebrate diversity and inclusion, striving to create a climate of respect essential for both individual and company success.<br>
If you're ready to be part of a passionate team dedicated to making an impact and driving growth, we invite you to explore a career at Verndale.</p><p><b>
Compensation &amp; Benefits</b></p><p>
$85,000 - $120,000 USD<br>
In accordance with applicable law, the above salary range provided is Verndale's reasonable estimate of the salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary, Verndale also offers a competitive benefits package.<br>
Verndale is proud of the fun, diverse, and respectful company environment we enjoy on a daily basis. Competitive compensation and comprehensive coverage for medical, dental, life, disability and a 401(k) savings plan are offered to all full-time employees. Ample company paid holidays and personal time off make having a work-life balance possible. For some roles, remote work is a definite possibility; we believe in hiring the best and keeping our own happy and motivated.<br>
 Verndale is an Equal Opportunity Employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.</p><p>
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Data Engineer

<div><div><p><b>Environmental Scientist/Planner 1</b></p>
 - (188087)</div><div><div><p>
At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?<br>
<br>
Watch Our Story:' https://www.hdrinc.com/our-story'<br>
<br>
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.<br>
In the role of <b>Environmental Scientist/Planner</b>, we'll count on you to</p><p></p><p><br>
In the role of <b>Environmental Scientist/Planner</b>, we'll count on you to</p><p></p><ul><li><br>
 Work on a wide variety of environmental compliance and natural resources projects as they relate to water resources, transportation and development projects</li><li> Work under the supervision of mid-level and senior environmental scientist and water resource engineers</li><li> Take responsibility for assisting with environmental permits, NEPA documentation, biological assessments and other environmental compliance documentation</li><li> Assist senior and mid-level scientists in field work associated with the collection of natural resource data</li><li> Work on environmental planning, environmental assessments/impact analysis and associated permitting and compliance monitoring for transportation and other infrastructure projects that require conformance with state environmental reviews &amp; National Environmental Policy Act (NEPA)</li><li> Research and interpret scientific literature, regulatory programs, guidance, and applications</li><li> Collect project-related data, which may include research, conducting surveys for listed species, interviews with government agencies and clients, map reviews, field investigations for wetlands, natural resources, land use, etc.</li><li> Assimilate and manage data, provide creative graphical representations of complex information</li><li> Prepare constraints mapping</li><li> Work with geographic positioning tools and information systems</li><li> Support and manage projects which involve permitting, wetland and stream mitigation design, planning, documentation, etc.</li><li> Write, review, and edit work products</li><li> with project team members in problem solving and solutions</li><li> Conduct quality reviews for content, accuracy and completeness, meeting client and corporate standards</li><li> Perform assignments, making independent decisions on problems and methods, and coordinate with other team members and technical staff</li><li> Coordinate with specialty sub consultants or consultant team members</li><li> Assist in preparation for and participation in public information meetings and hearings</li><li> Assist public and private clients with permit coordination, acquisition, and compliance</li><li> Assist with project schedules, have responsibility for tracking leading and delivering products and projects</li><li> Interact with clients and agencies</li><li> Support in business development and project pursuit roles</li><li> Perform other related duties as needed</li></ul><p><b>
Preferred Qualifications</b></p><p></p><ul><li><br>
 Masters 's degree in Environmental Science or closely related field</li><li> 1+ years transportation or development-related technical and/or field experience preparing environmental documents which should include experience in wetlands/natural resources, permitting, planning, NEPA, MEPA, CEPA, SEQRA, Section 7, research and assessment of regulations, GIS applications</li><li> Candidates who reside locally in the New England area and have New England experience are preferred</li><li> Field experience skills preferred</li><li> Wetland certifications preferred. CWS, PWS, WPIT etc.</li><li> Strong conceptual, organizational, problem-solving and research abilities</li><li> Ability to work independently and as part of a team</li></ul></div></div><div></div><div><div><div><div><b>
Required Qualifications
</b><br>
</div><div><ul><li>Bachelor's degree in Environmental Sciences or closely related field
</li><li>Knowledge of wetland delineation, field investigation techniques, and agency coordination requirements
</li><li>Excellent writing and communication skills
</li><li>MS Office experience
</li>An attitude and commitment to being an active participant of our employee-owned culture is a must<br>
<li>
</li></ul><br>
</div></div><p><b>What We Believe</b><br>
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.<br>
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<b>Our Commitment</b><br>
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.<br>
<br>
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.</p></div><p>
We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Massachusetts: $52,688 - $75,240 , Rhode Island: $46,085-$65,835, and Connecticut: $48,279-$65,835</p></div><p></p><div><b>
Primary Location</b><b>:</b><p>
United States-Maine-Portland</p></div><div><b>
Other Locations</b><b>:</b><p>
United States-New Hampshire-Bedford, United States-Massachusetts-Boston, United States-Connecticut-Rocky Hill, United States-Rhode Island-Providence</p></div><div><b>
Industry</b><b>:</b><p>
Highway + Road</p></div><div><b>
Schedule</b><b>:</b><p>
Full-time</p></div><div><b>
Employee Status</b><b>:</b><p>
Regular</p></div><div><b>
BusinessClass</b><b>:</b><p>
Environmental Sci and Planning</p></div><div><b>
Job Posting</b><b>:</b><p>
Oct 15, 2025</p></div></div>

Environmental Scientist/Planner 1

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