data science analyst

The Campbell's Company

<div>
 
 Since 1869, we've connected people through food they love. We&rsquo;re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell&rsquo;s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao&rsquo;s Homemade, Snack Factory, Snyder&rsquo;s of Hanover. Swanson, and V8.
 
 
 
 
 Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
 
 
 
 
 Why Campbell&rsquo;s&hellip;
 
 
 
 <ul>
 <li>
 Benefits begin on day one and include medical, dental, short and long-term disability, AD&amp;D, and life insurance (for individual, families, and domestic partners).
 </li>
 <li>
 Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.
 </li>
 <li>
 Campbell&rsquo;s offers unlimited sick time along with paid time off and holiday pay.
 </li>
 <li>
 If in WHQ &ndash; free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.
 </li>
 <li>
 Giving back to the communities where our employees work and live is very important to Campbell&rsquo;s. Our &ldquo;Campbell&rsquo;s Cares&rdquo; program matches employee donations and/or volunteer activity up to $1,500 annually.
 </li>
 <li>
 Campbell&rsquo;s has a variety of Employee Resource Groups (ERGs) to support employees.
 
 
 </li>
 </ul>
 
 How You Will Make History Here&hellip;
 
 
 
 The Data Science Analyst plays a critical role in supporting the Demand Planning function by developing and enhancing advanced forecasting models. In this role, you will select optimal modeling approaches for different scenarios, tune parameters to improve performance, and supplement models with custom algorithm development when necessary. You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize financial and supply chain performance, and deliver measurable business impact.
 
 
 
 What You Will Do&hellip;
 
 
 
 
 Model Development
 
 
 
 <ul>
 <li>
 Develop and refine AI and machine learning models for demand forecasting using techniques such as time series analysis, regression, and ensemble learning
 
 
 </li>
 </ul>
 
 Data Analysis
 
 
 
 <ul>
 <li>
 Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and key demand drivers
 
 
 </li>
 </ul>
 
 Insight Generation
 
 
 
 <ul>
 <li>
 Translate data into actionable insights to understand the impact of promotions, pricing, and external factors on demand
 
 
 </li>
 </ul>
 
 Platform Utilization
 
 
 
 <ul>
 <li>
 Use the o9 platform and open-source IDEs for model development, deployment, data management, and visualization
 
 
 </li>
 </ul>
 
 Continuous Improvement
 
 
 
 <ul>
 <li>
 Monitor and improve forecasting model accuracy, adapting to changing market conditions
 
 
 </li>
 </ul>
 
 Collaboration
 
 
 
 <ul>
 <li>
 Partner with demand planners, analysts, and business stakeholders to ensure models and insights are practical and impactful
 
 
 </li>
 </ul>
 
 Who You Will Work With&hellip;
 
 
 
 <ul>
 <li>
 Demand Planning teams
 </li>
 <li>
 Business analysts and data analysts
 </li>
 <li>
 Cross-functional business stakeholders
 </li>
 <li>
 Supply chain and commercial teams
 
 
 </li>
 </ul>
 
 What You Bring To The Table&hellip; (must Have)
 
 
 
 <ul>
 <li>
 4+ years of experience in data science, forecasting, or advanced analytics (supply chain experience strongly preferred)
 </li>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field
 </li>
 <li>
 Strong proficiency in Python, R, SQL, GitHub, and IDEs such as PyCharm or VS Code
 </li>
 <li>
 Solid understanding of statistical modeling and machine learning techniques (e.g., time series, regression, ensemble learning)
 </li>
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 Expertise in exploratory data analysis (EDA), data cleaning, and feature engineering
 </li>
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 Strong analytical and problem-solving skills
 </li>
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 Ability to translate complex analyses into clear business insights
 </li>
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 Experience identifying and prioritizing risks
 </li>
 <li>
 Continuous improvement mindset
 
 
 </li>
 </ul>
 
 IT WOULD BE GREAT IF YOU HAVE&hellip; (NICE TO HAVE)
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a related field
 </li>
 <li>
 Forecasting experience
 </li>
 <li>
 Experience working with supply chain or demand planning datasets
 </li>
 <li>
 Experience with the o9 platform
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Hybrid work model based in Camden, NJ (Monday &amp; Friday remote; Tuesday&ndash;Thursday in-office)
 </li>
 <li>
 10&ndash;15% travel for company and customer meetings
 
 
 </li>
 </ul>
 
 Compensation And Benefits
 
 
 
 The target base salary range for this full-time, salaried position is between
 
 
 $109,400-$150,400
 
 
 Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.
 
 
 
 The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.
 
</div>

Data Scientist

The Cigna Group

<div>Data Science Senior Analyst
Job Objective
We are seeking a data-driven and analytically minded professional to join the Data Science and AI Engineering team within International Health, Cigna Healthcare. Our team designs and delivers high-impact descriptive and predictive analytics and agentic AI solutions to address complex challenges across global and local healthcare markets.
This role is primarily focused on the UAE, with occasional regional coverage across the Middle East. It delivers advanced data analytics and agentic AI-enabled solutions across healthcare domains &ndash; including provider services, clinical operations, healthcare network, and payment integrity &ndash; to generate insights that are clinically relevant, operationally actionable, and aligned with value-based care outcomes. In close partnership with peers across the Technology organization, the role is accountable for development and deployment of agentic AI and machine-learning systems, ensuring adherence to data privacy, data residency, and ethical AI standard.
This is an opportunity for a strong data scientist professional to demonstrate deep technical expertise and business acumen by translating complex data into actionable insights and scalable data products that drive measurable value for health insurance stakeholders.
Job Responsibilities<ul><li>
Partner with Product Owners and domain stakeholders to understand business and provider-related challenges, and recommend appropriate analytical approaches</li><li>
Support the design and implementation of predictive and prescriptive analytics, including models that inform provider engagement strategies, optimize healthcare networks, improve care delivery outcomes, and strength payment integrity</li><li>
Operate effectively within an agile operating model, collaborating in cross-functional squads, contributing to sprint planning, backlog refinement, and iterative delivery of analytics and data products</li><li>
Contribute to the responsible application of Agentic AI by designing, building, and maintaining domain‑aligned knowledge bases that enable Retrieval‑Augmented Generation (RAG), agent‑assisted analytics, and high‑quality, explainable insight generation.</li><li>
Design, curate, and maintain high-quality provider datasets by identifying and managing critical data elements (CDEs), ensuring data completeness, accuracy, consistency, and fitness for advanced analytics and AI-driven use cases</li><li>
Track, quantify, and communicate the business value and impact generated by deployed analytics and AI-enabled data products</li><li>
Work with Data Engineering and Cloud Engineering teams to stay aligned on data ingestion, enrichment, and availability, leveraging both first- and third-party healthcare and provider data</li><li>
Collaborate with Data Governance and AI Governance teams to ensure compliance with UAE data protection and AI governance requirements, including data privacy, data residency, and responsible AI principles, drawing on hands‑on experience delivering analytics or AI solutions in regulated environments</li></ul>
Requirements<ul><li>
Tertiary education in Data Science, Statistics, Computer Science, Engineering, or related disciplines</li><li>
Knowledge of International Classification of Diseases (ICD) and its application within healthcare and health insurance analytics</li><li>
Hands-on experience with Python for data analysis and modeling</li><li>
Experience working with SQL and NoSQL databases</li><li>
Experience in cloud-based data and analytics platforms, preferably Amazon Web Services (AWS) and Databricks, including services such as SageMaker, Athena, or equivalent</li><li>
Good understanding of Foundation Models, including their capabilities, limitations, risk considerations, and appropriate enterprise usage patterns</li><li>
Hands-on experience with prompt engineering and agent engineering, supporting analytics workflows, RAG-based solutions, insight generation, or decision-support use cases</li><li>
Solid knowledge of UAE AI governance and data protection frameworks, with practical experience applying responsible AI principles such as data governance, transparency, risk management, and human‑in‑the‑loop oversight, across analytics or AI initiatives</li><li>
Strong communication skills in English, with the ability to translate analytical and AI-driven insights into clear, business-relevant narratives; additional languages are an advantage</li></ul>
About Cigna Healthcare
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourselfEMEA@cigna.com for support. Do not email SeeYourselfEMEA@cigna.com for an update on your application or to provide your resume as you will not receive a response.</div>

Data Scientist Senior Analyst

MarketVision Research Inc.

<div><div><div><div>Cincinnati, OH</div></div><div><div>
Full-Time</div></div></div><div><div>
Forward-thinking role with the ability to analyze and translate complex behavioral, attitudinal and psychological data into clear results and actionable insights. We are looking for an autonomous, curious professional with a growth mindset who is passionate about solving human problems through data.
Note: This is a primary research-centric role focused on statistical consulting and human behavior insights. It is not a software engineering or ML infrastructure position.
&zwj;<h5 class="jobSectionHeader">
Position Description</h5><ul><li>
Lead end-to-end advanced analytics, ranging from foundational statistics to complex modeling initiatives
 
<ul><li>Strategic internal and external methodological consultation to achieve client business objectives</li><li>
Collaborate on primary research design and implementation</li><li>
Convert high-dimensional data into client-friendly narratives (reports, simulators) in partnership with internal teams</li></ul></li><li>
Partner with the Data Sciences team to elevate departmental experience &amp; capabilities</li></ul>
&zwj;<h5 class="jobSectionHeader">
Requirements</h5><ul><li>
Experience: 3+ years of professional experience in applied data science with a proven track record of delivering complex modeling projects</li><li>
Education: Degree in Data Science, Statistics, Economics, Quantitative Psychology or related field (Advanced degree preferred)</li><li>
Technical Skills: High proficiency in a statistical programming language (e.g., SAS, R, Python)</li><li>
Communication: Excellent ability to explain complex quantitative findings for non-technical stakeholders, both written and verbal</li><li>
Execution: Proven ability to manage multiple workstreams independently in a fast-paced, deadline-driven environment</li><li>
Mindset: A creative approach to problem-solving and a desire to understand the &ldquo;why&rdquo; behind the data</li></ul></div></div></div><div></div>

Marketing Research Insights – Data Analyst

Jerry.AI

<div>Why We Exist
Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey &mdash; buy/sell, insurance, maintenance, repairs &mdash; is fragmented, complicated, and expensive.<div></div> 
Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace.<div> 
</div>We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets.<div></div> 
Why We&rsquo;re Hiring
Our Data Science &amp; Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data &amp; insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations.<div></div> 
Every business unit has a Data Science team member embedded within it &mdash; someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years.<div> 
</div>As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas:<ul><li>
Growth Marketing
</li><li>Product Development</li><li>
AI &amp; Automation</li><li>
Strategic Partnerships</li></ul><div> 
</div>On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling.<div></div> 
Why You Will (Or Won't) Like Working Here<ul><li>
No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business &mdash; an important product, a new growth channel, a key metric, a critical partner relationship, etc.
</li><li>No corporate fluff: The Data Science &amp; Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals.
</li><li>Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end.</li></ul><div> 
</div>What You'll Own
You'll sit on our central Data Science &amp; Analytics team but you&rsquo;ll be embedded in one of Jerry's core business areas &mdash; growth, product, AI and automation, strategic partnerships &mdash; and own the analytical function for that business unit end-to-end.<ul><li>
Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed.</li><li>
Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics.</li><li>
Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be.</li></ul><div></div> 
Who You Are<ul><li>
First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask &quot;what are we trying to solve here?&quot; before jumping to &quot;what should I build?&quot;
</li><li>Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede.</li><li>
Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it&rsquo;s outside of your swim lane.</li></ul><div></div> 
What You'll Bring<ul><li>
1+ years of experience at a consulting firm, investment bank, or high-growth technology company.</li><li>
Strong analytical skills; ability to pull, structure, and interpret data independently.</li><li>
Track record of owning ambiguous problems and delivering impact.</li><li>
Clear, persuasive communicator who can influence decisions at the leadership level.</li></ul><div></div> 
Our Tools
SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub.<div></div> 
While we appreciate your interest and application, only applicants under consideration will be contacted.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai
The successful candidate&rsquo;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.
About Jerry.ai
Jerry.ai is America&rsquo;s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers &mdash; and we&rsquo;re just getting started.
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that&rsquo;s disrupting a massive market.
Compensation Range: $85K - $130K</div>

Associate Data Scientist

Howard-Sloan Search

<div>
 
 
 Our client Global Investment Management Firm
 
 
 
 
 is seekng
 
 
 
 Data Science &amp; Analytics (DSA) &ndash; Analyst (Quant) - Associate
 
 
 
 for a
 
 Full Time role
 
 
 4 days onsite / 1 day remote in their Park Avenue, New York offices
 
 
 
 Salary:
 
 $95&ndash;100K base / 10&ndash;15% bonus
 
 
 
 Level
 
 : Analyst, Data Science &amp; Analytics
 
 
 
 
 
 
 This role Reports to
 
 :
 
 
 MD, DSA
 
 
 &amp;
 
 
 Executive Director, AI &amp; Business Analysis (AI Lead)
 
 
 
 
 
 
 you will be working directly with
 
 :
 
 
 MDs, Bankers, AI Business Analysts, Data Scientists, IT Developers, Business Management, Product/Technology Teams across Global organisation
 
 
 
 
 
 seeking Data Science &amp; Analytics Analyst (Python/SQL) passionate about applying quantitative methods to solve real business problems and shaping the future of data-driven advisory,
 
 
 seeking a technically strong Data Science &amp; Analytics Analyst who thrives at the intersection of analytics, financial services, and execution.
 
 
 Requres strong quantitative instincts, sound coding skills, and an interest in using data science, machine learning, and AI to support client-facing work and the firm&rsquo;s broader internal AI platform. The role is expected to support client work first, while also contributing to reusable internal capabilities, models, tooling, and workflows over time.
 
 
 As a Data Science &amp; Analytics Analyst, you will work closely with senior team members, bankers, and business partners to analyze data, build models, structure datasets, and generate insights that improve decision-making, productivity, and client outcomes. You should be comfortable moving from problem definition to analysis to model development to clear communication of results.
 
 
 
 
 
 Firm is expanding its data science and AI capabilities to better support client delivery, banker productivity, and scalable internal innovation.
 
 
 
 
 
 Firm's vision is to build practical, high-impact analytical and AI capabilities that create measurable value.
 
 
 To achieve this, we need an Analyst who can:
 
 
 Apply rigorous quantitative methods to client and business problems
 
 <ul>
 <li>
 Build, test, and refine models and analytical assets using structured and unstructured data
 </li>
 <li>
 Translate data into clear findings, recommendations, and decision support
 </li>
 <li>
 Contribute to internal AI and analytics capabilities that can scale across teams
 </li>
 </ul>
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 Quantitative Analysis &amp; Modeling
 
 
 <ul>
 <li>
 Perform rigorous statistical analysis, exploratory data analysis, feature engineering, and model development across a range of client-facing and internal use cases
 </li>
 <li>
 Build and refine predictive, classification, segmentation, NLP, and other analytical models using structured and unstructured datasets
 </li>
 <li>
 Evaluate model performance, document assumptions, and support model validation and testing
 </li>
 <li>
 Use Python, SQL, and related tools to extract, clean, transform, and analyze data efficiently and accurately
 </li>
 <li>
 Develop repeatable analytical approaches and reusable code that improve quality, speed, and consistency
 </li>
 </ul>
 
 
 Client Delivery Support
 
 
 <ul>
 <li>
 Support senior team members in delivering analytical workstreams tied to client mandates, strategic analyses, and business development initiatives
 </li>
 <li>
 Help frame business questions into analytical hypotheses, required data inputs, and model approaches
 </li>
 <li>
 Prepare analyses, visualizations, and outputs that can be translated into clear client-ready materials
 </li>
 <li>
 Work with bankers and internal stakeholders to refine requirements, validate findings, and improve usability of outputs
 </li>
 <li>
 Contribute to high-priority, time-sensitive analyses in support of live deal, strategic, and sector work
 </li>
 </ul>
 
 
 AI &amp; Internal Platform Contribution
 
 
 <ul>
 <li>
 Contribute to the development of internal AI and analytics assets, including reusable workflows, data pipelines, prompts, evaluation approaches, and model-enabled tools
 </li>
 <li>
 Support the testing and refinement of AI-enabled workflows tied to knowledge retrieval, summarization, classification, and productivity enhancement
 </li>
 <li>
 Help identify opportunities to reuse client-facing analytical patterns within the firm&rsquo;s internal AI build
 </li>
 <li>
 Partner with engineering and business teams to move analytical solutions from prototype to practical usage
 </li>
 </ul>
 
 
 Measurement, Governance, and Controls
 
 
 <ul>
 <li>
 Document methodologies, data sources, model logic, and outputs in a clear and auditable manner
 </li>
 <li>
 Support adherence to internal standards related to model governance, data quality, explainability, and information security
 </li>
 <li>
 Assist in defining success metrics for analytical solutions, including accuracy, time saved, quality lift, and business impact
 </li>
 <li>
 Help maintain disciplined testing, issue tracking, and version control across analytical work
 </li>
 </ul>
 
 
 
 
 
 Ways of Working
 
 
 <ul>
 <li>
 Operate with strong attention to detail, sound judgment, and a high bar for analytical quality
 </li>
 <li>
 Collaborate effectively across data science, business analysis, technology, and business stakeholders
 </li>
 <li>
 Learn quickly, absorb context fast, and contribute across multiple workstreams at once
 </li>
 <li>
 Stay current on emerging techniques in machine learning, analytics, and AI relevant to financial services
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required, preferably in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative field
 </li>
 <li>
 Master&rsquo;s degree is a plus, but not required
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 2 years of experience in data science, analytics, quantitative consulting, financial services,
 </li>
 <li>
 experience in investment banking, financial services, consulting, or a similarly demanding environment is preferred
 </li>
 <li>
 Experience supporting client-facing analytical work is a plus
 </li>
 </ul>
 
 
 Core Skills
 
 
 <ul>
 <li>
 Strong quantitative, statistical, and problem-solving capabilities
 </li>
 <li>
 Ability to structure ambiguous questions into analytical workplans
 </li>
 <li>
 Strong written and verbal communication skills, including the ability to explain technical findings to non-technical audiences
 </li>
 <li>
 High attention to detail and ability to deliver under tight timelines
 </li>
 </ul>
 
 
 AI, Data, and Technical Skills
 
 required
 
 <ul>
 <li>
 Experience with Python and SQL
 </li>
 <li>
 Strong statistical analysis skills
 </li>
 <li>
 Familiarity with common data science libraries and workflows for analysis, modeling, and visualization
 </li>
 <li>
 Exposure to machine learning (ML) techniques such as regression, classification, clustering, time series, optimization, or NLP
 </li>
 <li>
 Familiarity with working across structured and unstructured datasets
 </li>
 <li>
 
 
 comfortable operating in a fast-paced, high-expectation environment
 </li>
 <li>
 Interested in applying quantitative methods to real commercial and client outcomes
 </li>
 </ul>
 
 
 
 
 Preffered skills:
 
 <ul>
 <li>
 Exposure to LLMs, prompt design, retrieval workflows, or AI tooling is a plus
 </li>
 <li>
 Familiarity with Power BI, Tableau, or similar visualization tools is a plus
 </li>
 <li>
 Familiarity with Git, notebook-based development, and sound coding/documentation practices is preferred
 </li>
 </ul>
 
 
 
 
 PS
 
 
 must currently reside in the NY metro area
 
 
 must have a valid Work Permit for the Permanent employement
 
 
 
</div>

Data Science (Python) Quant Analyst

Elder Research Inc

<div>Data Analyst
General Information
Requisition #706
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS - MBI
Remote Type Hybrid
Time Type Full time
Description &amp; Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area.
As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients. Some of your responsibilities will include: consulting with technical and non-technical stakeholders, exploring and analyzing large structured, semi-structured and unstructured datasets using SQL and/or Python, developing and deploying data visualization dashboards, and communicating data analysis results, dashboards and reports to end-users
Responsibilities include but are not limited to:
<ul><li>Experience with cleaning, management and processing large volumes of data.</li>
<li>Experience building dashboards and reports using data visualization tools including Power BI, and Tableau.</li>
<li>Strong analytical and problem-solving skills with the ability to identify and address complex data issues.</li>
<li>Work closely with cross-functional teams to gather requirements, understand business needs and to build towards technical solution or capability.</li>
<li>Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels.</li>
</ul>
Minimum Qualifications:
<ul><li>Strong analytical and problem-solving skills with the ability to identify and address complex data issues.</li>
<li>2+ years of Data Analysis or Data Management experience.</li>
<li>Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences</li>
<li>Clearance Required</li>
<li>Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data.</li>
<li>Understanding of databases and familiarity with database design.</li>
</ul>
Preferred Qualifications:
<ul><li>Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields</li>
<li>Ideally located in the DC Metro area to attend regularly scheduled meetings</li>
<li>Statistical/Predictive Analysis</li>
<li>Domain Expertise (fraud) or management</li>
</ul>
Clearance Requirements:
<ul><li>Must currently possess an IRS Public Trust clearance with Full Background Investigation</li>
</ul>
Physical Requirements:
<ul><li>Must be able to remain in a stationary position 50%</li>
<li>Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li>
<li>Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations</li>
</ul>
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.</div>

Data Analyst

UVM Health - UVM Medical Center

<div>
 
 Job Summary
 
 
 
 The Sr. Analyst, Enterprise Analytics serves as an experienced analytics partner for senior clinical, operational, and administrative leadership within a designated domain at UVM Health. Domain assignments may include ambulatory care, inpatient operations, quality and patient safety, perioperative/surgical services, procedural specialties, emergency department, revenue cycle, population health, or other areas. The Sr. Analyst independently manages a complex portfolio of analytics work, partnering with leaders to define needs, scope projects, negotiate timelines, and deliver insights that drive clinical, operational, and quality improvement.
 
 
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor's degree required; Master's degree in Health Informatics, Data Science, Public Health, or related field preferred.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 3-6 years of healthcare analytics or data analysis experience.
 </li>
 <li>
 Demonstrated experience with Epic Cogito tools and Power BI, Tableau, or other data visualization tools.
 </li>
 <li>
 Experience independently managing analytics workloads and stakeholder relationships.
 </li>
 <li>
 Demonstrated ability to mentor or lead task-level work for junior staff.
 </li>
 <li>
 Experience working in agile product delivery preferred.
 </li>
 </ul>
</div>

Sr. Data Analyst (Healthcare)

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