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administrative assistant senior

senior data scientist

Canterr, Inc.

<div>
 <p>
  Position: Senior Data Scientist
 </p>
 <p>
  Location: Boston, MA
 </p>
 <p>
  Job Type: Full Time
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities:
 </p>
 <p>
  Use data science and machine learning principles to develop effective predictive models
 </p>
 <p>
  Write software to prepare, clean, and sample data for use in developing predictive models
 </p>
 <p>
  Use cloud resources (e.g., Amazon Web Services) to prepare and process data
 </p>
 <p>
  Query and extract data from databases (Snowflake)
 </p>
 <p>
  Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
 </p>
 <p>
  Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
 </p>
 <p>
  Solve challenging, uncharted problems
 </p>
 <p>
  Work in an environment that thrives on teamwork and continuous learning opportunities
 </p>
 <p>
  <br/>
 </p>
 <p>
  Qualifications:
 </p>
 <p>
  Bachelor&rsquo;s degree required; degree in applied math, computer science, natural sciences or engineering preferred
 </p>
 <p>
  M.S. or Ph.D. in a related field highly desired
 </p>
 <p>
  5+ years of experience with machine learning, statistical modeling, and optimization techniques
 </p>
 <p>
  Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
 </p>
 <p>
  Proficient in linear algebra and statistics
 </p>
 <p>
  Familiar with scientific software principals, e.g. versioning systems, reproducibility
 </p>
 <p>
  Experience in the manufacturing industry is desired
 </p>
 <p>
  <br/>
 </p>
 <p>
  If interested share your updated resume to karun.mabbu@canterr.in
 </p>
</div>


Senior Data Scientist

Boston Children's Hospital

<div><div><div><div>84026BR</div>
</div><div><div>Pediatrics-GI/Nutrition
</div></div><div><p><b>Job Posting Description</b></p>
<div><b>Position Summary:</b><br>
The Cell Discovery Network (CDN) at Boston Children&rsquo;s Hospital is seeking a Research Data Scientist to lead the development of a framework for modeling and reprogramming rare disease-relevant cell types. This new initiative, inspired by recent progress in human organoid systems, iPSC-based modeling, and single-cell technologies, aims to unlock therapeutic strategies for neglected pediatric diseases by computationally guiding the discovery and modeling of disease-critical cell states.<br>
<br>
This position offers the opportunity to integrate cutting-edge computational methods (e.g., generative models, foundation models, optimal transport) with a deep understanding of human developmental biology and stem cell differentiation.<br>
<br>
<b>Key Responsibilities:</b><ul><li>
Curate and analyze public and in-house datasets (including organoid and iPSC-derived models).</li><li>
Identify rare or disease-associated cell types from large-scale single-cell and organoid datasets.</li><li>
Determine where similar phenotypes have been observed across developmental systems or model organisms.</li><li>
Build and apply machine learning and AI models (e.g., generative or trajectory-based models, foundation models) to identify and compare rare cell states.</li><li>
Model cellular trajectories and propose reprogramming strategies to reach desired cell phenotypes from accessible starting points (e.g., iPSCs).</li><li>
Prioritize therapeutic strategies for disease modeling and compound screening.</li></ul><br>
<b>
Minimum Qualifications</b><br>
<b>Education:</b><ul><li>
Master's Degree in biology, bioinformatics, computer science or related study is required.</li></ul><b>
Experience</b>:<ul><li>
2 years of experience in computational biology, bioinformatics, machine learning, systems biology, or a related field is required.</li><li>
Minimum of two years of position-specific experience might potentially include experience acquired through MSc or Ph.D. studies.</li></ul></div>
</div><div><p><b>Status</b></p>
<div>Full-Time</div>
</div><div><p><b>Regular, Temporary, Per Diem</b></p>
<div>Regular
</div></div><div><p><b>Standard Hours per Week</b></p>
<div>40
</div></div><div><p><b>Pay Range</b></p>
<div>$83241.60-$133192.80 Annual</div>
</div><div><p><b>Office/Site Location</b></p>
<div>Boston</div>
</div><div><p><b>Job Posting Category</b></p>
<div>Research</div>
</div><div><p><b>Remote Eligibility
</b></p><div>Part Remote/Hybrid</div></div></div></div><div></div>

Senior Research Data Scientist

Alvarez & Marsal

<div></div><div><div><div><p>Location: Boston, MA, United States<br>
Date Posted: Feb 28, 2026</p></div><p></p><div><div><br>
</div></div></div><div><p><b>Description</b>
</p><p><b>Digital Finance Transformation - Data Scientist: Associate &ndash; Private Equity Performance Improvement</b></p><p><b>
About Alvarez &amp; Marsal</b></p><p>
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.</p><p><b>
The Team</b></p><p>
A&amp;M&rsquo;s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands-on involvement in our clients&rsquo; operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.</p><p><b>
Our PEPI CFO Services practice includes the following pillar of services:</b></p><ul><li>
Strategic Finance and Liquidity Management</li><li>
Accounting Advisory and Financial Reporting Solutions</li><li>
Working Capital Optimization</li><li><b>
Digital Finance Transformation</b></li><li>
Interim Management</li></ul><p></p><p><b>
How you will contribute</b></p><p>
We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function&mdash;modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.</p><p>
The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&amp;A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.</p><p><b>
Qualifications</b></p><ul><li>
3-6 plus years of professional experience; consulting or professional services experience preferred.</li><li>
Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).</li><li>
Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).</li><li>
Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.</li><li>
Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.</li><li>
Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.</li><li>
Ability to travel as required</li></ul><p></p><p>
#LI-LS1</p><p></p><p><b>
Your journey at A&amp;M</b></p><p>
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.</p><p>
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.</p><p>
The salary range is $90,000-$130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.</p><p>
Alvarez &amp; Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.</p><p></p><p>
Full-time Positions and Part-time Positions Over 30 hours</p><p>
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.</p><p><b>
Inclusive Diversity</b></p><p>
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.</p><p><b>
Equal Opportunity Employer</b></p><p>
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&amp;M policy statements and additional information by region here.</p><p><b>
Unsolicited Resumes from Third-Party Recruiters</b></p><p>
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</p>
</div><div><h2 class="jobSectionHeader"><b>Inclusive Diversity</b></h2>
<p>A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.</p>
<h2 class="jobSectionHeader"><b>Equal Opportunity Employer</b></h2>
<p>It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. .</p>
<h2 class="jobSectionHeader"><b>Unsolicited Resumes from Third-Party Recruiters</b></h2>
<p>Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</p></div></div><p></p>

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement (OPEN TO ALL US LOCATIONS)

BioNTech

<div><p>Cambridge, US; Mainz, Germany; Munich, Germany | full time | Job ID: 11112</p><br>
<p></p>
<div>
<p>As an Associate Director, Senior Data Engineer (Clinical &amp; Non-Clinical), you will shape, deliver, and maintain enterprise‑grade data engineering solutions that power analytical, scientific, clinical, and operational decision‑making across the company. You will combine deep technical expertise with architectural leadership, building scalable, robust pipelines on Databricks and AWS, and ensuring compliant ingestion, transformation, and harmonization of data across clinical and non‑clinical domains throughout the R&amp;D lifecycle.</p><br>
<p></p>
<p>
You will work in a collaborative, multidisciplinary environment, partnering with colleagues from diverse backgrounds and disciplines. Your work will help make data more accessible, reliable, and usable for teams across the organization, supporting inclusive decision‑making and better outcomes for patients.</p></div><br>
<p></p>
<p><b>
Your main responsibilities are:</b></p><br>
<p></p>
<ul>
<li>Design, build, maintain, and optimize scalable, secure, and resilient data pipelines using Spark, Databricks, Delta Lake, and AWS</li>
<li>Support data flow across clinical systems (EDC, CTMS, IRT, Rave, biosample systems, BRIMS, PV, MDM) and build transformations aligned with CDISC standards (CDASH, ODM, SDTM, ADaM)</li>
<li>Implement frameworks for data quality, testing, monitoring, and performance optimization; perform clinical data cleaning, reconciliation, validation, and QC</li>
<li>Partner with Platform, Cloud, and DevOps teams to evolve the clinical data platform; own CI/CD automation, infrastructure as code, observability, lineage, and pipelines monitoring</li>
<li>Lead complex cross‑functional data engineering initiatives, serving as a senior engineering leader and mentoring engineers on best practices, coding standards, automation, and reproducibility</li>
<li>Integrate data across R&amp;D lifecycle domains (translational science, clinical development, safety, regulatory, real‑world evidence), including API‑based ingestion (REST, GraphQL) and metadata management</li>
<li>Collaborate with cross‑functional teams (QA, Data Analysts, Data Scientists, Cloud Ops, Biostats, Clinical Ops), CROs, and external vendors, fostering an open, respectful, and inclusive team culture</li>
<li>Engage with governance, compliance, and security to ensure GxP, CSV, FAIR, privacy, and data ethics alignment</li>
<li>Build and maintain data models, specifications, mapping documents, and QC documentation, contributing to enterprise data strategies and architecture roadmaps</li></ul><br>
<p></p>
<p><b>
What you have to offer:</b></p><br>
<p></p>
<ul>
<li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, engineering, a related field, or equivalent practical experience</li>
<li>6 to 10+ years of data engineering experience (Senior Data Engineer/Associate Director) with production‑grade data pipelines and large‑scale distributed systems</li>
<li>2 to 6+ years of experience with Databricks and AWS, plus ETL/ELT tools and cloud data lake/warehouse solutions</li>
<li>Experience in biotech/pharma regulated or complex scientific environments, including GxP/CSV and data governance (privacy, data ethics)</li>
<li>Strong SQL, PySpark, and Python skills; proficiency with SAS and R; experience with CI/CD, DevOps (GitHub), infra‑automation (Terraform), data modeling, metadata management, and data quality frameworks</li>
<li>Hands‑on experience with clinical data standards and systems (CDISC, EDC, CTMS, IRT, Rave, biosample systems, BRIMS, PV, MDM) and data masking/blinded-unblinded workflows</li>
<li>Familiarity with ML/AI workloads and model‑ready data engineering; experience across translational science, clinical development, safety, regulatory, and real-world evidence domains</li>
<li>Experience working with CROs and external vendors; strong analytical, problem‑solving, communication, and cross‑functional partnership skills</li>
<li>A customer‑oriented and agile mindset, with the ability to manage competing priorities and to work effectively with people from diverse disciplines, cultures, and backgrounds</li></ul><br>
<p></p>
<p>
Expected Pay Range: $146,300 to $234,100/year + benefits, annual bonus &amp; equity (bonus and equity is variable and dependent on company and individual performance). *Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities</p><br>
<p></p>
<p><b>Your Benefits:</b></p><br>
<p></p>
<p>BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate&rsquo;s qualifications and experience.</p><br>
<p></p>
<p>Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.</p><br>
<p></p>
<p><b>How to apply:</b></p><br>
<p></p><p>Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.</p><br>
<p></p>
<p>Please note:</p>
<p>Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider &lsquo;HireRight&rsquo;. You will be informed accordingly by your BioNTech-Recruiter.</p><br>
<p></p>
<p>We are looking forward receiving your application.</p>
<div><div><p><b>Inspired? Become part of #TeamBioNTech.</b></p>
<p><b>BioNTech, the story</b></p>
<p>At BioNTech, we are more than just a biotechnology company &ndash; we are a community of innovators, scientists, and leaders dedicated to revolutionizing medicine by translating cutting-edge science into survival. Your contributions here have the potential to improve the health of people worldwide, especially by addressing diseases with high medical needs like cancer and various infectious diseases.
</p><p>Experience a dynamic workplace that embraces diversity in all its forms. We foster innovation, encourage creativity, and develop business strategies driven by our shared passion for advancing medicine.
</p><p>Working at BioNTech means striving to achieve medical breakthroughs while growing your career in a meaningful way. Apply today and become part of a mission that has the potential to change lives around the world.</p>
<p>BioNTech does not tolerate discrimination, favoritism or harassment based on gender, political views, religion or belief, nationality, ethnic or social origin, age, sexual orientation, marital status, disability, physical appearance, health status or any other physical or personal characteristics. BioNTech is committed to creating a diverse and inclusive work environment. We are proud to be an equal opportunity employer. The main thing is that you suit us, and we suit you!</p>
<p><b>BioNTech - As unique as you</b></p>
<p>www.biontech.com</p><br>
</div></div><p><br>
<b>Nearest Major Market: </b>Boston</p></div><div></div>

Associate Director Data, Digital & Informatics (Senior Data Engineer)

Klaviyo

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><p><i>
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.</i></p>
<p>
Data is at the heart of every decision made at Klaviyo, and we're looking for a Senior Data Engineer to join our Business Intelligence (BI) team. BI at Klaviyo collaborates across all departments to provide a platform that powers all internal data, analytic, and reporting needs. Our mission is to champion data-driven value creation, and you will own creating and maintaining the internal data infrastructure that powers Klaviyo's business. This role in particular will significantly contribute to the infrastructure, pipelines, and security/compliance aspects of our internal analytics platform while driving architectural innovation and mentoring the team.</p>
<p><b>
How You'll Make a Difference</b></p>
<p>
As a Senior Data Engineer, you will shape the scalability, reliability, and cost-efficiency of our data platform. You'll lead architectural decisions, establish engineering best practices, and mentor other engineers while partnering closely with analytics, engineering, and business stakeholders.</p>
<p>
Your work will directly influence data-driven decision-making across the organization by ensuring our data systems are performant, observable, and built to scale.</p>
<p><b>
What You'll Do (Responsibilities)</b></p>
<p><b>
Accelerating Engineering with AI</b></p>
<ul>
<li>Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up for example, using AI to generate tests, detect anomalies, summarize data issues, or accelerate analysis.</li>
</ul>
<p><b>Data Architecture &amp; Optimization</b></p>
<ul>
<li>Design, develop, and maintain scalable dbt models and pipelines, including advanced incremental and merge strategies.</li>
<li>Architect solutions for attribution models, event data pipelines, and analytics at scale.</li>
<li>Lead performance optimization efforts across Snowflake and related data systems.</li>
<li>Define and enforce best practices for query performance, warehouse management, and cost control.</li>
</ul>
<p><b>Pipeline &amp; Platform Ownership</b></p>
<ul>
<li>Own end-to-end data pipelines, ensuring reliability, scalability, and observability.</li>
<li>Lead complex DAG orchestration with Airflow/MWAA.</li>
<li>Oversee Spark/EMR cluster management, job optimization, and large-scale backfills.</li>
<li>Implement monitoring, alerting, and automated recovery strategies for production systems.</li>
</ul>
<p><b>Infrastructure &amp; DevOps Leadership</b></p>
<ul>
<li>Architect infrastructure-as-code solutions using Terraform for Snowflake and AWS resources.</li>
<li>Oversee integration of AWS services (S3, EMR, Secrets Manager, CloudWatch) into the data platform.</li>
<li>Guide CI/CD pipeline design and improvements using GitHub Actions and CodeBuild.</li>
<li>Promote containerization best practices with Docker for scalable deployments.</li>
</ul>
<p><b>Cost &amp; Performance Management</b></p>
<ul>
<li>Monitor Snowflake and EMR usage to proactively optimize costs.</li>
<li>Analyze query performance and warehouse efficiency.</li>
<li>Troubleshoot and resolve pipeline and infrastructure performance issues.</li>
</ul>
<p><b>Leadership &amp; Mentorship</b></p>
<ul>
<li>Mentor and coach junior and mid-level data engineers through code reviews and technical guidance.</li>
<li>Establish and enforce coding standards, testing practices, and CI/CD processes.</li>
<li>Serve as technical lead for cross-functional data initiatives.</li>
<li>Advocate for reliability, performance, and cost optimization across the data engineering function.</li>
</ul>
<p><b>Who You Are (Qualifications)</b></p>
<ul>
<li>5+ years of data engineering experience, including demonstrated technical leadership.</li>
<li>Expert-level proficiency in dbt, including advanced modeling, testing frameworks, incremental strategies, and performance tuning.</li>
<li>Deep expertise in SQL and Snowflake, including query optimization, warehouse sizing, and cost governance.</li>
<li>Strong Python skills for data processing, API integrations, and internal tooling.</li>
<li>Experience architecting data lakehouse solutions.</li>
<li>Hands-on experience designing and operating Apache Iceberg-based data lake architectures on Amazon EMR.</li>
<li>Proven experience operating production systems with a strong focus on reliability and cost efficiency.</li>
<li>Demonstrated experience leveraging AI to improve personal and team workflows.</li>
<li>Strong problem-solving skills and an operational mindset focused on SLAs and production stability.</li>
<li>Ability to align technical decisions with business priorities.</li>
<li>You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.</li>
</ul>
<p><b>Nice to Haves</b></p>
<ul>
<li>Expertise in Spark/EMR performance optimization and scaling strategies.</li>
<li>Advanced Terraform usage across multi-environment infrastructure.</li>
<li>Extensive experience with Airflow/MWAA orchestration at scale.</li>
<li>Strong Docker and container orchestration experience.</li>
<li>Experience architecting AI-driven workflows, including multi-agent systems, concurrent execution models, and tool-augmented agents.</li>
<li>Domain experience in:</li>
<li><ul><li>Marketing attribution modeling and analytics data flows</li>
<li>Event data ingestion, transformation, and large-scale aggregation</li>
<li>Data warehouse governance, optimization, and cost modeling</li>
<li>BI infrastructure and operational excellence</li></ul></li></ul><br>
<p>
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.</p><p>
Please see the independent bias audit report covering our use of Covey here</p><div><p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
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Senior Data Engineer, Business Intelligence

Vertex Pharmaceuticals

<div><p><b>Job Description
</b></p><p>We are seeking a unique individual with a passion for data and AI technology who can help our team drive forward enterprise-scale AI adoption of our data &amp; AI platform. Vertex Pharmaceuticals is in a transformational period where we are accelerating our capabilities, technologies, and data to augment our scientific mission, enable Vertex to grow in scale, and continue to be on the forefront of science, medicine, and technology. As part of this effort, it is critical that users have data &ldquo;at their fingertips&rdquo;, with the patterns and technology to support AI adoption at scale.
</p><p>As a Senior Principal AI Engineer in the Data Platforms team, you will unlock and accelerate AI by designing the reusable components, starter kits, and opinionated developer first patterns for our Data Platform. This person will be a key contributing member of the Data Platform, driving forward the deployment and management of Vertex&rsquo;s enterprise platform for data &amp; AI. This role operates at the platform level, shaping how teams build AI on the platform by turning best practices into predictable and repeatable patterns embedding governance into code, and reducing time to value for new use cases. You will work horizontally across platform engineering, governance, and product teams to act as a technical multiplier, enabling dozens of teams across Vertex to ship safely, consistently, and securely. To support enablement, you will advise and influence high-impact initiatives across the organization and lead a scaled enablement program to deliver AI on the Vertex Data Platform.
</p><p></p><p><b>Key Duties &amp; Responsibilities:
</b></p><ul><li><p><b>Platform Management </b>&ndash; Design, support, and continuously enhance Vertex&rsquo;s enterprise data and AI platform to enable scalable and efficient AI adoption across the organization.
</p></li></ul><ul><li><p><b>Design and Build </b>&ndash; Design, build, and maintain production-grade AI starter kits to streamline the development and deployment of AI solutions.
</p></li></ul><ul><li><p><b>Reference Implementations </b>&ndash; Deliver end-to-end reference implementations for AI workloads, providing teams with clear examples and best practices for leveraging the platform.
</p></li></ul><ul><li><p><b>Delivery Management </b>&ndash; Partner with platform engineering, governance, and product teams to deliver data solutions that accelerate AI development and adoption, reducing time-to-value for new use cases.
</p></li></ul><ul><li><p><b>Solution Packaging </b>&ndash; Package solutions as templated, internal tooling, and opinionated defaults that align with enterprise standards, ensuring consistency and ease of use across teams.
</p></li></ul><ul><li><p><b>Team Enablement </b>&ndash; Act as a technical multiplier by providing reusable architecture patterns, starter kits, and developer-first abstractions to empower teams across Vertex to build and deploy AI solutions effectively.
</p></li></ul><ul><li><p><b>Technology Champion </b>&ndash; Advocate for innovative, cloud-first approaches to data and AI platform development, driving forward Vertex&rsquo;s technological capabilities to support future growth.
</p></li></ul><ul><li><p><b>Innovation Champion </b>&ndash; Identify and implement process enhancements and opportunities to improve Vertex&rsquo;s data and AI platform, ensuring alignment with best practices and industry standards.
</p></li></ul><ul><li><p><b>Enablement Champion </b>&ndash; Lead scalable enablement programs across the Vertex Data Platform to drive consistency, quality, and reuse of AI platform patterns.
</p></li></ul><p></p><p><b>Knowledge and Skills:
</b></p><ul><li><p><b>Technical Expertise </b>&ndash; Hands-on experience with AI technologies, particularly GenAI, LLM, Agentic AI, Dev/DataOps, or MLOps, and a solid understanding of enterprise software development tools and methodologies. Experience with Snowflake or Databricks is required.
</p></li><li><p><b>Workflow Tools </b>&ndash; Working knowledge of key workflow tools, including JIRA and Confluence, to support project management and collaboration.
</p></li><li><p><b>Product and Solution Management </b>&ndash; Experience managing the creation and grooming of epics and themes for product and Solution roadmaps.
</p></li></ul><ul><li><p><b>Project Management </b>&ndash; Demonstrated ability to work independently and manage multiple projects requiring collaboration across functional areas.
</p></li></ul><ul><li><p><b>Team Collaboration </b>&ndash; Skillful and collaborative team player with the ability to develop rapport and credibility with stakeholders.
</p></li></ul><ul><li><p><b>Mentorship and Support </b>&ndash; Proven ability and willingness to teach, engage, and support others as they learn new technologies and concepts.
</p></li></ul><ul><li><p><b>Adaptability and Problem-Solving </b>&ndash; Enthusiasm for and ability to quickly learn new technologies and tackle complex challenges.
</p></li></ul><ul><li><p><b>Communication Skills </b>&ndash; Strong presentation, verbal, and written communication skills to effectively convey technical concepts to diverse audiences.
</p></li></ul><p></p><p><b>Education and Experience:
</b></p><ul><li><p>Successful track record with 10+ years of experience working with data, advanced analytics, and 5+ years of developing cloud-based data products.
</p></li><li><p>Strong experience working with AI/ML and GenAI products
</p></li></ul><ul><li><p>5+ years of experience delivering projects in agile environments, with a strong understanding of agile methodologies and practices.
</p></li><li><p>Bachelor's degree in computer science, Software Engineering, or related field, or relevant years of experience
</p></li></ul><p></p><p><b>Pay Range:
</b></p>$188,000 - $282,000
<p></p><p><b>Disclosure Statement:
</b></p><div><div><div><div><div><div><div><div><p>The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
</p><p></p><p>At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
</p></div></div></div></div></div></div></div></div><p></p><p><b>Company Information
</b></p><p>Vertex is a global biotechnology company that invests in scientific innovation.
</p><p></p><p>Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
</p><p></p><p>Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com</p></div>

Senior Principal AI Platform Engineer, Data & AI Platform

YO IT Consulting

<div>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 Leading AI lab to engage independent
 <strong>
  Data Science Experts
 </strong>
 for diverse research and development initiatives. These contractors will support data‑driven model improvement, performance evaluation, and applied experimentation.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze large datasets to extract insights that inform model design and refinement.
  </li>
  <li>
   Develop and apply statistical models, machine learning techniques, and evaluation frameworks.
  </li>
  <li>
   Conduct performance assessments and data quality reviews on AI model outputs.
  </li>
  <li>
   Build reusable tools for data processing, visualization, and reporting.
  </li>
  <li>
   Partner with research teams to test hypotheses and scale experimental workflows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideal Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in data science, machine learning, or a related analytical field.
  </li>
  <li>
   Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
  </li>
  <li>
   Familiarity with large-scale data environments and version-controlled workflows.
  </li>
  <li>
   Strong command of statistical analysis, experimental design, and model validation.
  </li>
  <li>
   Clear written communication and comfort collaborating across technical teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  More About The Opportunity
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expected commitment: 10+ hours/week.
  </li>
  <li>
   Exposure to high-impact AI research and applied experimentation.
   <br/>
   <br/>
  </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 <br/>
 <br/>
 <strong>
  Contract and Payment Terms
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will be engaged as an independent contractor.
  </li>
  <li>
   This is a fully remote role that can be completed on your own schedule.
  </li>
  <li>
   Projects can be extended, shortened, or concluded early depending on needs and performance.
  </li>
 </ul>
</div>


Data Scientist - Remote

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