data analyst

data engineer

data scientist

senior data engineer

business intelligence analyst Jobs in New York

business intelligence analyst

analytical data scientist

Data Scientist, Product Analytics

Uber

<div>
 <strong>
  Employer:
 </strong>
 Uber Technologies, Inc.
 <br/>
 <br/>
 <strong>
  Job Title:
 </strong>
 Data Scientist
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 New York, New York
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Rate of Pay:
 </strong>
 $155,000 to $189,000 per year
 <br/>
 <br/>
 You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
 <br/>
 <br/>
 <strong>
  Duties:
 </strong>
 Leverage data to perform intensive analysis across all areas of business to drive product development. Design experiments and analyze results to draw conclusions. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends. Build models to enhance understanding of user behavior and predict future performance of cohorts. Create dashboards and reports to regularly communicate results and monitor key metrics. Extract data from warehouse, back-test the model, and compare the model performance and communicate the results. Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience. May telecommute.
 <br/>
 <br/>
 Employer will accept a Master's degree in Engineering (Any), Information Technology, Information Management, Information Systems, Mathematics, Statistics, or related field and two years of experience in the job offered or related occupation.
 <br/>
 <br/>
 <strong>
  Position Requires
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   R or Python;
  </li>
  <li>
   Database query languages: SQL;
  </li>
  <li>
   Experimentation techniques including simulation or A/B testing;
  </li>
  <li>
   Statistical analysis including descriptive statistics, correlation, regression, or confidence intervals;
  </li>
  <li>
   Developing relevant metrics;
  </li>
  <li>
   KPIs to measure performance by product teams;
  </li>
  <li>
   Quantitative modeling including machine learning models, time-series forecasting, or casual impact analyses.
  </li>
 </ul>
</div>


Data Scientist

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 <br/>
 <br/>
 Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.
 <br/>
 <br/>
 As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team&rsquo;s systems and products
  </li>
  <li>
   Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
  </li>
  <li>
   Perform exploratory data analysis to gain a deeper understanding of the problem
  </li>
  <li>
   Construct and fit statistical, machine learning, or optimization models
  </li>
  <li>
   Write production modeling code; collaborate with Software Engineers to implement algorithms in production
  </li>
  <li>
   Design and implement both simulated and live traffic experiments
  </li>
  <li>
   Analyze experimental and observational data; communicate findings; facilitate launch decisions
  </li>
  <li>
   Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
  </li>
  <li>
   Drive collaboration and coordination with cross-functional teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
  </li>
  <li>
   2+ years professional experience in a technology company setting
  </li>
  <li>
   Proven experience with building and evaluating machine learning models
  </li>
  <li>
   Proficiency with Python and working in a production coding environment
  </li>
  <li>
   Passion for solving unstructured and non-standard mathematical problems
  </li>
  <li>
   End-to-end experience with data, including querying, aggregation, analysis, and visualization
  </li>
  <li>
   Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Great medical, dental, and vision insurance options with additional programs available when enrolled
  </li>
  <li>
   Mental health benefits
  </li>
  <li>
   Family building benefits
  </li>
  <li>
   Child care and pet benefits
  </li>
  <li>
   401(k) plan to help save for your future
  </li>
  <li>
   In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  </li>
  <li>
   18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  </li>
  <li>
   Subsidized commuter benefits
  </li>
  <li>
   Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
  <br/>
  <br/>
 </em>
 <em>
  Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
  <br/>
  <br/>
 </em>
 <em>
  The expected base pay range for this position in the New York City area is $128,000 -$160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
 </em>
</div>


Data Scientist, Algorithms, Optimization - Fulfillment

Roku

<div>
 <p>
  Teamwork makes the stream work.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Roku is changing how the world watches TV
  </strong>
 </p>
 <p>
  Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 </p>
 <p>
  From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the team
  </strong>
 </p>
 <p>
  The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role
  </strong>
 </p>
 <p>
  Roku is looking for a Data Scientist to join the Core Analytics team and provide support for our Customer Intelligence function, part of the broader Planning &amp; Optimization team. Together, we answer high-impact business questions from senior leaders with clear, decision-ready insights. You&rsquo;ll work on customer analytics that directly shape how Roku grows engagement, retention and monetization across the streaming ecosystem, with visibility to cross-functional leaders and meaningful ownership over high-impact questions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role is more than analytics and is intentionally &ldquo;business-forward&rdquo;. We're looking for someone who can translate customer behavior into metrics and narratives which can help define our customer strategy, and/or measure the impact of initiatives on customer behavior. You&rsquo;ll be expected to translate ambiguous stakeholder needs into strong analytical narratives and executive-ready deliverables. Familiarity with causal inference/experimentation is important; deep specialization is a plus but not required. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of NYC.
 </p>
 <p>
  For New York Only - The estimated annual salary for this position is between $135,000-$153,000 annually.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you'll be doing
  </strong>
 </p>
 <ul>
  <li>
   Own end-to-end analyses: scope the question, define success metrics, pull data, analyze, synthesize, and deliver data-driven narratives.
  </li>
  <li>
   Drive stakeholder alignment: clarify objectives, assumptions, tradeoffs, and decision points; ensure outputs are usable.
  </li>
  <li>
   Build crisp storytelling &amp; presentations: create executive-ready readouts (slides, memos) with clear &ldquo;so what / now what.&rdquo;
  </li>
  <li>
   Develop SQL and Python-based workflows: write and review SQL/Python code to create datasets, compute KPIs, and validate results; use Airflow to maintain and build new pipelines when needed.
  </li>
  <li>
   Create reporting in Tableau/Looker: develop dashboards or recurring scorecards that make performance tracking easier and reduce ad-hoc churn.
  </li>
  <li>
   Measurement &amp; causal thinking: apply or partner on quasi-experimental approaches (e.g., diff-in-diff, propensity matching, synthetic controls) with appropriate caveats to address incrementality questions.
  </li>
  <li>
   Raise analytical quality: ensure statistical rigor, bias awareness, and clear limitations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We're excited if you have
  </strong>
 </p>
 <ul>
  <li>
   3+ years (or equivalent) in analytics/data science roles driving business decisions (tech, media, marketplaces, consumer products, etc.).
  </li>
  <li>
   Strong SQL (joins, window functions, building analysis-ready tables, QA/validation).
  </li>
  <li>
   Proficiency in Excel to work with data, tables and visualization.
  </li>
  <li>
   Strong ability to communicate insights: structured thinking, clear writing, confident presenting to non-technical and executive audiences.
  </li>
  <li>
   Solid foundation in statistics (hypothesis testing, confidence intervals, regression basics).
  </li>
  <li>
   Experienced with Python for analysis and data pipeline production (via Airflow).
  </li>
  <li>
   Hands-on experience with visualization tools like Tableau or Looker
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Hybrid Work Approach
  </strong>
 </p>
 <p>
  Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <p>
  Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Accommodations
  </strong>
 </p>
 <p>
  Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Roku Culture
  </strong>
 </p>
 <p>
  Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 </p>
 <p>
  We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 </p>
 <p>
  To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 </p>
 <p>
  <br/>
 </p>
 <p>
  By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 </p>
</div>


<div>
 Teamwork makes the stream work.
 <p>
  &nbsp;
 </p>
 <strong>
  Roku is changing how the world watches TV
 </strong>
 <p>
  Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 </p>
 <p>
  From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  About the team
 </strong>
 <p>
  The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  About the role
 </strong>
 <p>
  Roku is looking for a Research Data Scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku&rsquo;s experimentation capabilities, exploring and implementing scalable and robust statistical methods that can be applied to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku. This individual will work closely with product management and data engineering, and a software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor, and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well-versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise.
 </p>
 <p>
  For New York Only - The estimated annual salary for this position is between $132,000-$240,000 annually.&nbsp; Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.&nbsp; This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
 </p>
 <p>
  Roku will be accepting applications for this position until November 27, 2025 [or until the position filled].
 </p>
 <p>
  This is a hybrid role with four days per week in the office, Monday through Thursday.&nbsp; The selected candidate will be based out of San Jose, CA or NYC.&nbsp;
 </p>
 &nbsp;
 <strong>
  What you'll be doing
 </strong>
 <ul>
  <li>
   Own the experimentation roadmap for Core Analytics in partnership with Product and Engineering.
  </li>
  <li>
   Define the standard for statistical analysis across varying types of experiments and units of analysis, ensuring robust results with minimal bias
  </li>
  <li>
   Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian inference and causal methods to optimize complex strategies
  </li>
  <li>
   Develop necessary data pipelines to power automation, validation, and reporting
  </li>
  <li>
   Collaborate with stakeholders to align data science initiatives with organizational goals and strategy
  </li>
  <li>
   Collaborate with the Product Management and Engineering team to proactively seek and incorporate feedback
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <strong>
  We're excited if you have
 </strong>
 <ul>
  <li>
   2+ years of work experience with a PhD in a quantitative field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
  </li>
 </ul>
 <p>
  OR 5+ years of equivalent practical experience with a master&rsquo;s degree.
 </p>
 <ul>
  <li>
   Deep knowledge of statistics, probability, and machine learning techniques
  </li>
  <li>
   Hands-on experience on experimental design, A/B testing, causal inference, and statistical modeling/forecasting
  </li>
  <li>
   Expertise in SQL, SAS, R, Python, or other programming languages to query data and perform analysis
  </li>
  <li>
   Hands-on experience with visualization tools like Tableau or Looker
  </li>
  <li>
   Have a bias towards action in resolving issues and operate in a dynamic environment.
  </li>
  <li>
   The ability to effectively communicate with technical and non-technical business partners alike, who are interested in building strong cross-functional relationships.
  </li>
  <li>
   A desire to question the status quo and promote innovative solutions to challenging problems.
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <strong>
  Our Hybrid Work Approach
 </strong>
 <p>
  Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  Benefits
 </strong>
 <p>
  Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  Accommodations
 </strong>
 <p>
  Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 </p>
 <p>
  &nbsp;
 </p>
 <strong>
  The Roku Culture
 </strong>
 <p>
  Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 </p>
 <p>
  We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 </p>
 <p>
  To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 </p>
 <p>
  By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 </p>
</div>


Research Data Scientist

NYC Housing Authority

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Data Scientist
</b></h1></div><div><div><div><div><ul><li>NYC HOUSING AUTHORITY
</li></ul></div></div><div><div>Posted On: 03/11/2026
</div></div><div><div><ul><li>Full-Time
</li></ul></div></div><div><div><div>Location
</div><div>NYC-ALL BOROS</div>
</div></div></div><div><div><div><ul><li>No Exam Required
</li></ul></div></div><div><div><div><div>Department
</div><div>Environmental Health &amp; Safety</div>
</div></div></div><p></p><div><div><div>Salary Range:</div>
<div>$87,743.00 &ndash; $110,120.00</div>
</div></div></div></div><div><div><p><b>Save</b></p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div>
<div><div><div>The New York City Housing Authority (NYCHA) is the nation&rsquo;s largest public housing authority, with an operating budget of $3.3 billion and over 11,000 employees who manage and maintain 325 developments that house about 400,000 residents. NYCHA also operates the country&rsquo;s largest Section 8 program, which provides rental assistance to about 200,000 additional people.<br>
<br>
Overview<br>
EHS is responsible for &ldquo;analyzing, overseeing, and improving environmental health and safety at NYCHA, which shall include but not be limited to issues relating to lead-based paint, mold, heating, pests, elevators, air quality, and other aspects of NYCHA&rsquo;s physical environment that affect residents&rsquo; health or safety&rdquo;, &ldquo;reporting to NYCHA&rsquo;s senior management and Board on environmental health and safety issues&rdquo; and &ldquo;making recommendations to NYCHA&rsquo;s senior management and Board for improvement and correction of any environmental health and safety issues at NYCHA&rdquo;. EHS fulfills this obligation through the extensive data and report management work conducted by the Analysis and Engagement Unit (AEU).
<br>
<br>
About the Position<br>
As a key driver of data-driven decision-making, the Data Scientist will play a pivotal role in shaping analytical strategies and insights for the Analysis and Reporting Team. Reporting directly to the Administrator, the Data Scientist will work across all teams to provide support on various data technical projects, data analytics; data quality activities; including building insightful PowerBI dashboards that assist in data driven analysis. The ideal candidate will be a self-starter who can work independently and is comfortable working in a fast-paced, deadline-sensitive environment. This position requires a highly analytical and results-oriented professional who is an effective project manager, a strategic leader, and a skilled communicator with a strong problem-solving mindset. Additionally, they should possess a continuous improvement approach, balancing urgent priorities with long-term analytical advancements.<br>
Responsibilities include, but are not limited to the following:<br>
<br>
Data Product Development<br>
<ul><li>Build tools required to document the observations of the Specialists conducting inspections which includes EHS scoring model, ensure comprehensive gathering of business requirements is conducted and documented while also ensuring that there is a uniformity with taxonomies and data structure.
</li><li>Develop targeted reports, EHS dashboards, and data visualization models that surface key information and trends related to the EHS oversight findings.
</li><li>Shadow Business Unit Specialists in the field during oversight inspection to assist in creating documentation tools to capture real life inspection conditions.
</li><li>Lead the planning and implementation of AEU projects ensuring projects are completed according to outlined objectives, and project timelines.
</li><li>Create and maintain comprehensive project documentation, project tasks; minutes; actions items, including preparing project progress reports.
</li></ul><br>
Reporting/Analysis<br>
<ul><li>Prepare recurring and ad-hoc reports on EH&amp;S program performance using Power BI, Smartsheet, and Excel, ensuring accurate and timely insights for senior management and Business Units. Develop interactive dashboards and data visualizations to enhance decision-making and stakeholder engagement.
</li><li>Perform data wrangling, exploratory data analysis (EDA), ETL process, and advanced statistical modeling using Python, SQL, Power BI, Excel to derive actionable insights from EH&amp;S data, enabling evidence-based decision-making and guiding the EH&amp;S Officer in developing effective, data-driven program strategies for Authority-wide improvements.</li><li>Develop, optimize, debug, maintain data pipelines using Power BI and Smartsheet ensuring data integrity, performance, and security and apply predictive models to answer complex and nuanced questions about the EHS programs and anticipate future needs and behavior of the systems; prepare reports and briefing materials.</li><li>Assist with the establishment of performance metrics and reporting cycles.</li></ul><br>
Data Quality Assurance
<br>
<ul><li>Review portfolio data to identify anomalies and ensure timely corrections are made to ensure accurate reporting; escalate any unresolved discrepancies.</li><li>Ensure all data is validated doing a crosswalk of the exported results; supporting documentation; and submitted Activity Reports, in addition to conducting peer reviews.</li><li>Build and maintain a DQA report identifying user errors; DQA activities; other metrics required.
</li><li>Provide DQA training to all users.
</li><li>Ensure Data Discrepancies Log is maintained.</li></ul><br>
Data Product Management<br>
<ul><li>Ensure tools developed by AEU are functioning according to requirements, includes but not limited to; reviewing and monitoring data pipelines regularly; managing user permissions; managing product file storage and security, addressing Smartsheet Mastersheet function limits; and automation workflow functions.
</li><li>Assist with monitoring and maintaining EHS Power BI dashboards and ensure any system anomalies, defects, performance issues are identified, diagnosed, and resolved in timely manner.
</li><li>Maintain Product Change Logs; includes tracking dashboard and checklists form versions.</li></ul><br>
Project Management<br>
<ul><li>Assist AEU Administrator and Deputy Director project manage department and agency wide projects that support EHS&rsquo; mission to improve environmental health and safety at NYCHA.</li><li>Liaise with the IT project Management Office (PMO) on EHS projects.
</li><li>Build/Maintain EHS Master project status dashboard.
</li></ul><br>
Special Projects:<br>
<ul><li>Perform special projects, ad-hoc analysis, and prepare relevant reports and presentations as assigned.</li></ul><br>
Additional Information<br>
1. NYCHA employees applying for promotional, title or level change opportunities must have served a period of one year at current location and in current title and level (if applicable).<br>
2. NYCHA residents are encouraged to apply.<br>
<br>
Please read this posting carefully to make certain you meet the qualification requirements before applying to this position.<br>
<br>
CITY RESEARCH SCIENTIST - 21744</div><p><b><br>
Minimum Qualifications</b></p><p><br>
1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
<br>
To be appointed to Assignment Level II and above, candidates must have:
<br>
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
<br>
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
<br>
3. Education and/or experience which is equivalent to &quot;1&quot; or &quot;2&quot; above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in &quot;2&quot; above. Two years as a City Research Scientist Level I can be substituted for the experience required in &quot;1&quot; and &quot;2&quot; above.
<br>
<br>
NOTE:
<br>
Probationary Period
<br>
Appointments to this position are subject to a minimum probationary period of one year.</p><p><b><br>
Preferred Skills</b></p><br>
1. Must know Oracle SQL and Power BI, Python, ML Algorithms, Statistics. 2. Advance knowledge in Microsoft Excel, creating formulas pivots data visualization. 3. Working knowledge of Smartsheet, tools, methods, and concepts of quality assurance. 4. Ability to use data and metrics to drive decisions and measure performance. 5. Exceptional interpersonal skills, including verbal and written communications, executive staff management and conflict resolution 6. Excellent administrative and organizational skills. 7. Ability to manage relationships, balance competing priorities, and manage up and down. 8. Experience managing high-priority projects and tracking project life-cycles. 9. Experience working collaboratively to develop and execute project plans. 10. Ability to make timely and effective decisions and produce results through strategic planning. 11. Firm working knowledge of Microsoft Project, Word, and Excel. 12. A leader with the ability to cultivate creativity and innovation while enforcing accountability and maintaining high levels of work ethic. 13. Experience collaborating with a diversity of cultures and sensitive to the challenges of low-income populations. 14. Knowledge in housing, health and/or environmental policy is a plus.<br>
<p><b>
Public Service Loan Forgiveness</b></p><br>
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.<br>
<p><b>
Residency Requirement</b></p><br>
NYCHA has no residency requirements.<br>
<p><b>
Additional Information</b></p><div></div><p><br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p></div>
</div><div><div><p><b>
</b></p><p><b>Save</b></p>
</div></div></div></div><div><div><div><div><div><div><div>Job ID
</div><div>771842</div>
</div></div><div><div><div><div>Posted until
</div><div>05/09/2026</div>
</div></div></div><div><div><div><div>Title code
</div><div>21744</div>
</div></div></div><div><div><div><div>Civil service title
</div><div>CITY RESEARCH SCIENTIST</div>
</div></div></div><div><div><div><div>Title classification
</div><div>Non-Competitive-5</div>
</div></div></div><div><div><div><div>Business title
</div><div>Data Scientist</div>
</div></div></div></div><div><div><div><ul><li><div>Experience Level: </div>Experienced (Non-Manager)
</li></ul></div></div><div><div><div><div>Job level
</div><div>02</div>
</div></div></div><div><div><div><div>Number of positions
</div><div>1</div>
</div></div></div><div><div><div><div>Work location
</div><div>Environmental Health &amp; Safety</div>
</div></div></div><div><div><ul><li><div>Category: </div>Technology, Data &amp; Innovation
</li></ul></div></div></div></div></div></div><div><div><div><div><div>Data Scientist</div></div></div></div></div></div><p></p>

Linde

<div><div><p><b>Senior Scientist</b></p><ul><li>26000541</li></ul></div><p></p><div><div><div><div><p><b><br>
Purpose of the position:</b></p><p>
Linde Special Projects in New Providence, NJ is seeking a Senior Staff Scientist with a background in Physics, Physical chemistry, Engineering, or a closely related field. This individual will play a key role in advancing our laboratory instrumentation, optimizing internal processes, and driving innovation across research projects.</p><p>
The ideal candidate combines strong theoretical knowledge with practical laboratory experience and thrives in a collaborative, research-driven environment.</p></div></div><br>
</div><div><div><div><p><b>
Principal responsibilities will include:</b></p><p><b>
Laboratory &amp; Technical Leadership</b></p><ul><li> Learn and master existing laboratory processes, instrumentation, and workflows.</li></ul><ul><li> Analyze current systems and identify opportunities for performance improvement, reliability enhancement, and data quality.</li></ul><ul><li> Design, prototype, test, and validate improvements to laboratory instrumentation and measurement systems.</li></ul><ul><li> Develop and refine experimental methods and data acquisition systems.</li></ul><ul><li> Comply with Linde safety policies and other regulatory requirements.</li></ul><p><b>
Research &amp; Innovation</b></p><ul><li> Generate new research concepts and technical approaches to improve instrumentation and experimental methodologies.</li></ul><ul><li> Lead or contribute to research projects from concept through implementation and validation.</li></ul><ul><li> Conduct feasibility studies, modeling, simulation, and experimental validation as required.</li></ul><p><b>
Communication</b></p><ul><li> Interface with key stakeholders, including department technical staff, management, and US government technical staff.</li></ul><ul><li> Prepare clear, data-driven technical reports and presentations and present project updates and technical recommendations to our sponsor and collaborators.</li></ul><ul><li> Translate complex technical results into actionable recommendations for both technical and non-technical audiences.</li></ul><p><b>
Collaboration</b></p><ul><li> Work closely with internal and external scientists, engineers, and technicians on multidisciplinary research projects.</li></ul><ul><li> Support troubleshooting and root-cause investigations for instrumentation or process issues.</li></ul></div></div><p></p><div><div><p><b><br>
Key interfaces</b></p><ul><li> Department technical staff (Engineers/Scientists/Technicians)</li></ul><ul><li> Department management</li></ul><ul><li> US Government Technical staff</li></ul></div></div></div><p></p><div><div><div><p><b><br>
Key competencies</b></p><ul><li> <b>Safety-first mentality</b></li></ul><ul><li> <b>Intellectual curiosity and innovation mindset</b></li></ul><ul><li> <b>Technical rigor and attention to detail</b></li></ul><ul><li> <b>Clear and confident presenter</b></li></ul><ul><li> <b>Collaborative and team-oriented</b></li></ul><ul><li> <b>Decisiveness &amp; Task execution</b></li></ul><ul><li> <b>Process, Project &amp; Risk Management</b></li></ul><ul><li> <b>Employee Development &amp; Empowerment</b></li></ul></div></div></div></div><div></div><div><div><div><div><p><b><br>
Required Qualifications</b></p><ul><li> M.S. or Ph.D. with 3 years experience in Physics, Physical Chemistry, Engineering, or related field. Candidates at the BA level with 7-10+ years will be considered.</li></ul><ul><li> Strong foundations in the following:</li></ul><p>
o Spectroscopy</p><p>
o Analog and digital electronics</p><p>
o Signal processing</p><p>
o Instrumentation and measurement systems</p><ul><li> Hands-on experience one or more of the following:</li></ul><p>
o Gas handling systems</p><p>
o Vacuum technology</p><p>
o Radiation detection systems/Geiger&ndash;M&uuml;ller counting</p><ul><li> Experience designing, troubleshooting, and improving electronic systems.</li></ul><ul><li> Demonstrated ability to independently design and execute experiments.</li></ul><ul><li> Strong analytical and problem-solving skills.</li></ul><ul><li> Excellent written and verbal communication skills.</li></ul><ul><li> Ability to obtain and maintain DOD secret level security clearance (This requires US citizenship).</li></ul></div></div></div><p></p><div><div><div><p><b><br>
Preferred Qualifications</b></p><ul><li> Experience with high-voltage systems and low-noise signal measurement.</li></ul><ul><li> Familiarity with data acquisition systems (DAQ) and embedded systems.</li></ul><ul><li> Familiarity with relational databases (<i>e.g.</i>, SQL, Access).</li></ul><ul><li> Programming experience (<i>e.g.</i>, Python, LabVIEW, C/C++).</li></ul><ul><li> Experience working directly with customers.</li></ul><ul><li> Project management experience in a research or technical environment.</li></ul></div></div><br>
</div><p>
Linde is a leading global industrial gases and engineering company with 2025 sales of $33 billion.</p><p>
Linde Gas &amp; Equipment Inc. (LG&amp;E) is part of the largest Welding, Industrial, Medical, and Specialty Gases companies in the U.S. We carry a comprehensive selection of industrial gases, such as oxygen, nitrogen, argon, and carbon dioxide, etc. LG&amp;E has an extensive network of production plants, retail stores, distribution centers, and customer service locations with a focus on making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful by helping to sustain and protect our planet.</p><p>
For more information about the company, please visit our website.</p><p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law.</p></div><p></p><div><b>
Primary Location</b> New Jersey-New Providence</div><div><b>
Schedule</b> Full-time</div><div><b>
Job</b> Engineering</div><div><b>
Unposting Date</b> Ongoing</div></div><div></div>

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