applied scientist ii, prime video - personalization and discovery science Jobs in New York

applied scientist ii, prime video - personalization and discovery science

applied scientist, long term planning & forecasting Jobs in New York

applied scientist, long term planning & forecasting

assistant vice president, analytics and data strategy team Jobs in New York

assistant vice president, analytics and data strategy team

clinical scientist - manager - sr. manager Jobs in New York

clinical scientist - manager - sr. manager

data analyst

data scientist

Environmental Defense Fund

<div>
 The Environmental Defense Fund (EDF) seeks a scientist to conduct early-stage research on innovative, impact-focused approaches to decarbonization and reducing climate warming.
 
 
 As an early-stage incubator of scientific ideas and questions, the Climate Innovation group investigates promising climate solutions and technologies across sectors, from energy and industry to agriculture and natural systems. The goal is to identify technologies and system changes that can drive disproportionate climate impact, anticipate future challenges to success, and conduct key scientific investigations to create positive change. The scientist will identify high leverage scientific questions and data needs in emerging areas of global relevance, generate plans to investigate them, and follow through to drive meaningful impact. The scope of past and current topics is broad, including electrical transmission, carbon dioxide removal, industrial carbon capture safety, new sensor design, and agricultural amendments. Methods usually involve identifying and building teams of experts to collaboratively address the questions.
 
 The ultimate metric of success is science that results in a positive impact on slowing climate change and its impacts.
 
 
 
 
 Program Overview
 
 
 
 Science and Innovation (S&amp;I) is the engine of science at EDF. S&amp;I provides programmatic support for all scientists at EDF and fosters relationships with scientists outside the organization. We identify key emerging scientific questions and data needs of value to the climate and act as a global leader for solutions-oriented science. The team works on projects across all EDF programs, translating basic and applied research in the natural and social sciences into actionable ideas for colleagues who are designing policies, programs, and projects.
 
 
 
 Overall Function
 
 
 
 The Scientist will conduct research and identify opportunities for real-world impacts on climate warming, emissions, and policy. We are seeing increasing numbers of innovations and solutions put forth, some well founded in science and some less so. Identifying key scientific needs to evaluate the climate impacts (and other benefits) of potential solutions and accelerating good solutions is critical for a successful transition to a sustainable world. This scientist must think at a systems level &ndash; not only asking questions in isolation, but within the broader context of systems emissions, economics, behavior, and at a scale of relevance to the global climate. The scientist needs to think creatively and broadly, across disciplines. This is a highly collaborative endeavor, and to maximize impact the scientist will be expected to actively collaborate with other scientists as well as the policy, economic, and legal teams both within EDF and externally.
 
 
 The Scientist needs to be a creative thinker, interested in a wide range of innovations, and willing to learn, explore, and lead in strong collaboration with internal and external teams. This work will result in original publishable research, including with external academic collaborators, &ldquo;in-house&rdquo; analyses for use by other EDF staff, and other communications aimed at policy makers, journalists, and the public at large. The Scientist will report to a Senior Climate Scientist.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Identify emerging high leverage science opportunities and conduct research on multiple innovative solutions to climate change.
 </li>
 <li>
 Organize studies and identify key pathways to climate impact
 </li>
 <li>
 Collaborate with external scientists from academia, NGOs, governments, and other areas
 </li>
 <li>
 Effectively work with teams across the organization, and external partners, to maximize practical impact of research findings
 </li>
 <li>
 Participate in advancing EDF&rsquo;s organizational effectiveness and culture goals, in which people from all backgrounds and experiences feel connected, included, and empowered to address the environmental and organizational challenges aligned with EDF values.
 </li>
 <li>
 Lead and participate in the preparation of manuscripts for publication in peer-reviewed journals and, where appropriate, reports/fact sheets/blog posts for general audiences on the topic of focus.
 </li>
 <li>
 Help coordinate workshops or working groups of internal and external experts to answer specific questions as appropriate for the questions.
 </li>
 <li>
 Represent EDF in external meetings with a high degree of professionalism.
 </li>
 <li>
 Additional responsibilities assigned as needed.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 A Ph.D. in Climate Science, Data Science, Energy Systems, Environmental Science, Materials Science, or relevant field with 2 years&rsquo; postdoctoral experience, a Master&rsquo;s degree with 5+ years&rsquo; relevant experience, or a Bachelor's with 7+ years&rsquo; relevant experience in scientific roles.
 </li>
 <li>
 A strong track record of collaborative research, including peer-reviewed publications and presentations at scientific conferences.
 </li>
 <li>
 Strong quantitative skills (statistical analysis and modeling) with proficiency in R, Python, or similar data analysis software.
 </li>
 <li>
 Demonstrated excellence in rigorous scientific analyses.
 </li>
 <li>
 Demonstrated self-awareness, cultural competency, inclusivity, and ability to work with colleagues and stakeholders across all cultures and backgrounds.
 </li>
 <li>
 Spatial data analysis experience and skills using R or Python scripting (e.g. arcpy or open-source equivalent), ArcPro/QGIS, Google Earth Engine, or similar highly preferred.
 </li>
 <li>
 Excellent written and oral communication skills, including the ability to conduct effective presentations, communicate complex technical aspects to general audiences, and translate scientific and technical concepts for private sector audiences into practicable solutions. Ability to work in an inter-disciplinary setting and learning new skills (on-the-job training will be provided to familiarize the successful candidate with media, policy skills, and issues).
 </li>
 <li>
 Ability to work independently, using independent judgment to plan, prioritize, and organize a diverse workload in a fast-paced environment.
 </li>
 <li>
 An interest and commitment to solving environmental problems through collaborative projects based on rigorous science and solutions-focused advocacy.
 </li>
 <li>
 Ability and willingness to travel domestically and up to 10%.
 
 
 </li>
 </ul>
 We offer a strong total rewards package encompassing competitive salary, robust benefits, and professional development opportunities consistent with a modern global organization. We take into account factors such as candidate experience, skills, training, internal team equity and local norms.
 
 
 Please note that pay ranges are country specific. As a result, the stated currency is not meant be converted into any other currency.
 
 
 $95,000-$105,000
 
 
 USD
</div>

Scientist, Climate Innovation

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. 
 
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. 
 
As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. 
 
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! 
 
We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. 
 
Key job responsibilities 
<ul><li>Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;</li><li>Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;</li><li>Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field;</li><li>Publish your research findings in top conferences and journals.</li></ul> 
About the team 
Prime Video Search Science team owns science solution to power search experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with the engineering teams to launch our solutions in production.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>5+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Are you passionate to shape the future of Amazon's long term success with GenAI and Reinforcement Learning (RL) techniques? 
 
We are looking for a strong applied scientist to join our mission to accelerate the Amazon flywheel and ensure Amazon's long term success by leveraging GenAI and RL to develop forecasting, optimization, and analytics products to plan Amazon's Topline, Inventory, and Fulfillment Capacity and Topology.
 
 
In this role, you will develop our next-generation forecasting and planning products with GenAI and reinforcement learning. You will design and implement noval and sophisticated models an algorithms, and create solutions for large-scale problems.
 
 
You will collaborate with applied scientists, research scientists, economists, product managers and software engineers. We are seeking innovative thinkers who can balance theoretical excellence with practical implementation. Your ability to communicate complex technical concepts and drive data-driven decisions at massive scale will be crucial to your success.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Long Term Planning & Forecasting

The Hartford

<div>Dir Data Science - GD06AE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
The Hartford seeks a Director of Data Science within Employee Benefits to lead a team of Data Scientists and develop machine learning solutions supporting actuarial pricing and reserving modeling.
As a Director of Data Science, you will lead a team of Data Scientists through the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC, NYC) 3 days a week (Tuesday through Thursday).
Responsibilities:<ul><li>
Manage a team of Data Scientists to develop, test, validate, and maintain a portfolio of rating models for the Employee Benefits class plans in Long-Term Disability, Short-Term Disability, and Life</li><li>
Continuously partner with Actuarial and Data teams to monitor and manage the End-to-End lifecycle of the rating models and underlying data which feeds them</li><li>
Lead cross-functional projects that include the creation of statistical models and machine learning techniques to achieve financial objectives, solve business problems, and identify long-term opportunities that enhance actuarial modeling.</li><li>
Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset.</li><li>
Advance the department&rsquo;s capabilities by creating and deploying long-term tools to continually evolve the practice of data science, with an ability to see the end-to-end solution.</li><li>
Develop strategies to achieve targeted business objectives. Implement these strategies and follow through to successful conclusion.</li><li>
Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function.</li><li>
Participate in the talent management process for hiring, onboarding, training and development of staff.</li><li>
Collaborate with your leader to provide timely feedback on development and opportunities for your team.</li><li>
Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows.</li></ul>
Qualifications:<ul><li>
8+ years of relevant experience recommended</li><li>
Master&rsquo;s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation</li><li>
Expertise in actuarial modeling; experience in Employee Benefits pricing is a plus.</li><li>
Experience with managing Data Scientists and providing guidance through model development</li><li>
Expertise in statistical modeling, inference, and building machine learning algorithms in Python</li><li>
Expertise in SQL and navigating databases to extract relevant attributes</li><li>
Expertise in Unix and Git</li><li>
Expertise in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation</li><li>
Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus</li><li>
Able to communicate effectively with both technical and non-technical teams</li><li>
Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution</li><li>
Experience with leading project execution and driving change to core business processes through the innovative use of quantitative technique</li><li>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</li></ul>
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$153,200 - $229,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It&rsquo;s Like to Work Here | Perks &amp; Benefits</div>

Director of Data Science, Employee Benefits Data Science (Pricing & Rating)

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. 
 
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
 
 
As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
 
 
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! 
 
 
 
Key job responsibilities 
<ul><li>Develop ML models for various recommendation &amp; search systems using deep learning, online learning, and optimization methods</li><li>Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li><li>Publish your research findings in top conferences and journals</li></ul> 
A day in the life 
We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative &amp; customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist II, Prime Video - Personalization and Discovery Science

Dubin Research & Consulting (DRC)

<div>
 
 Dubin Research &amp; Consulting (DRC) is the nation&rsquo;s leading trial consulting firm headquartered in New York City. We specialize in crafting winning trial strategies for attorneys through applied psychology, our innovative information design processes, our proven techniques in Jury/Judge persuasion, and our acclaimed research methodology. As we expand our reach, we are seeking a well-organized Data Analyst to join our team.
 
 
 
 
 
 The Data Analyst will play a crucial role in the planning, execution, communication, and analysis of research projects.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Perform statistical analyses on quantitative and qualitative data using existing data workflows.
 </li>
 <li>
 Expand and improve upon existing research methodologies and analysis.
 </li>
 <li>
 Collaborate with other research analysts and litigation strategists.
 </li>
 <li>
 Report research findings and insights to support trial strategy.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities are representative and not exhaustive, additional responsibilities may be assigned as needed.
 
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 A master&rsquo;s degree from an accredited university in data science, statistics, or a social science (e.g., Psychology, Economics) with a strong focus on quantitative analyses.
 </li>
 <li>
 1-2 years related work experience centered around cleaning data and conducting inferential statistical analyses.
 </li>
 <li>
 Strong knowledge of statistics and inferential data analysis.
 </li>
 <li>
 Experience with computational modeling and causal modeling is a plus.
 </li>
 <li>
 Strong attention to detail and accuracy in conducting analyses and reporting research results.
 </li>
 <li>
 Demonstrated ability to think critically, identify and solve problems with data, not just follow rote instructions.
 </li>
 <li>
 Demonstrable experience and comfort conducting analyses in R or Python, but ideally both.
 </li>
 <li>
 Able to clearly and simply explain statistical analyses and research findings to people with no background in either area.
 </li>
 <li>
 A confident, adaptable team player eager to learn through guidance from research and litigation teams.
 </li>
 <li>
 Capable of meeting strict deadlines and being flexible with working outside regular hours, including evenings and weekends, as needed.
 </li>
 <li>
 Occasional travel may be required.
 </li>
 </ul>
 
 
 
 
 
 Preferences:
 
 
 <ul>
 <li>
 Knowledge and application of Bayesian statistics and causal modeling procedures is highly desired.
 </li>
 <li>
 Knowledge of psychology of human decision making and the factors that influence it.
 </li>
 <li>
 Experience conducting research in legal contexts and jury analysis.
 </li>
 <li>
 Experience with SQL.
 </li>
 </ul>
 
 
 
 
 
 Additional Information:
 
 
 
 Dubin Research and Consulting is committed to attracting and retaining exceptional talent by ensuring your professional growth and success. We take pride in providing our employees with a highly competitive compensation package, including health, dental, and vision insurance, along with a generous PTO package, a 401(k)-participation plan, and a suite of additional benefits for full-time employees.
 
 
 
 
 
 
 Compensation:
 
 $80,000 - $85,000 plus bonus.
 
 
 
 
 
 The indicated salary range for this position reflects the base pay, which is determined by experience and does not include overtime compensation. DRC provides compensation for overtime in alignment with state regulations.
 
</div>

Data Analyst

Cantor Fitzgerald

<div>Employer: Cantor Fitzgerald Technology Markets, LLC
Job Title: Data Management Analyst
Worksite Address: 55 Water Street, New York, NY 10041 
Job Description: Drive the design and development of automated solutions for data collection, ingestion, standardization, and enrichment using Python and other ETL tools. Develop and maintain dashboards, KPIs tracking tools, reports, and visualizations, making use of Tableau, SQL, Power BI, and advanced analytical and statistical methods to enable data-driven decisions making. Understand AML and Compliance business logic and core data attributes to drive business intelligence initiatives, create regulatory reports, and perform critical risk analysis and mitigation. Periodically remediate and reconcile complex datasets stored in various servers and databases. Responsible for strategic and cross-functional projects, especially those for data integration involving REST APIs. Play a key role in data governance overseeing workflow efficiency and establishing and maintaining controls. Monitor live services, automate processes for deployment, and support the full Software Development Life Cycle (SDLC) process. Support ad-hoc analysis requests and special projects as needed, demonstrating flexibility and adaptability with addressing evolving business needs. Communicate with impact, ensuring relevant information is articulated in a meaningful way to wide and varied audiences, including senior executives. 
Minimum Requirements: Requires a bachelor&rsquo;s degree or foreign equivalent in Statistics, Quantitative Modeling, Data Science or a closely related field plus 3 years of progressively responsible experience in a data analytics role. Experience must include: programing languages including Python, Javascript, and Visual basic. Cross-server and use of Linux CLI. Data visualization using Tableau, Python, R, and Power BI. Business intelligence tools including Oracle BI, SQL Query, Power Automate, Business Analysis, Business Requirement Documentation, Visio, Excel, Test Script documentation, and User Acceptance Testing. Salary $112,000 &ndash; $120,000 .</div>

Data Management Analyst

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