software engineer

data engineer

data scientist

data analyst

senior data scientist

research scientist

New York State Psychiatry Institute

<div>Job Title: Assistant Research Scientist
Grade: 15
Salary: $57,900-$69,341
The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a full-time Assistant Research Scientist position
in our neuroscience laboratory, in which rodent preparations are used to model mechanisms and treatment targets in mental illness.
Circuit mechanisms of normal brain functions and how experiences change them are a focus.
Duties and Responsibilities:
The work focuses on neurobehavioral systems, using molecular genetic manipulations to probe neural cellular and circuit function and, ultimately, behavior depending on demands of a given experiment, research responsibilities will include varying combinations of the following:<ul><li>
Handling of research rodents, stereotaxic surgery and monitoring during recovery, behavioral testing, in vivo fiber
</li><li>photometry and electrophysiology, anatomic circuit tracing, neurohistology, microscopy, and data analysis.</li><li>
Experience with procedures and analysis of data utilizing genetically encoded biosensors and in vivo physiology is critical.</li><li>
Experience with vivo viral-mediated gene transfer and opto and chemo genetics is preferred. Familiarity with programming in</li><li>
Matlab and Python are important.</li></ul> 
The candidate should be able to work on a flexible schedule, including some weekends and evenings.
Minimum Qualifications:<ul><li>
Bachelor's degree and (1) year of professional research experience in an appropriate field, or 30 graduate credit hours leading to an advanced degree in an appropriate field may be substituted for the required experience</li></ul>
Preferred Qualifications:<ul><li>
Applicants will be expected to also have excellent organizational skills, keep detailed records, and aid others in the laboratory with data.</li></ul> 
Work Location: 1051 Riverside Drive, New York, NY 10032
To Apply: Submit an application through our website at https://rfmh.applicantpro.com/jobs/. Please note only applications submitted through our website will be considered.
The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer.
The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.</div>

Assistant Research Scientist

New York University

<div>This position is based in New York and the selected candidate will be expected to work onsite as of their effective start date.
Assistant Research Scientist will:
<ul><li>Work on research on identifying how decision-making and behavioral flexibility differs across individuals, and how these arise from underlying neural processes
</li></ul><ul><li>Use machine learning and data analysis to characterize large-scale behavioral datasets from rodents trained on a decision-making task
</li></ul><ul><li>Help identify individual-specific behavioral strategies to link to the neural activity differences across those individuals
</li></ul><ul><li>Build standardized pipelines for the behavioral database and interpret the results under supervision
</li></ul><div>Approximately 10 hours per week 
</div><div></div><div>In compliance with NYC&rsquo;s Pay Transparency Act, the salary range for this position is $25/hr. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer. 
</div><div></div>We welcome applications from international candidates; however, please note that NYU is not an E-Verify employer and therefore unable to support STEM OPT extensions.</div>
 <div>Major in neuroscience or related field; h ave familiarity with data analysis and visualization in Python</div>
 <div>submit CV</div>
 <div>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability</div>

Assistant Research Scientist Part Time Non-exempt (Savin Lab)

サイネオス・ヘルス

<div><div><div>Updated: Yesterday 
Location: Remote, NY, United States 
Job ID: 25111061-OTHLOC-1500-2DNY-2DR
<div><div>Not ready to apply? 
Join our Talent Network
</div></div><div>Description
Principal Research Scientist ONC -Clinical Development Scientist (Sponsor Dedicated/ Remote US)<div>
Syneos Health&reg; is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. 
 
Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.
 
 
Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you&rsquo;ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver &ndash; for one another, our customers, and, most importantly, for those in need.
 
 
Discover what your 25,000 future colleagues already know:
 
 
Why Syneos Health 
<ul><li>We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.</li><li>We are committed to building an inclusive culture &ndash; where you can authentically be yourself. Central to this is our purpose &ndash; Driven to Deliver &ndash; which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone&rsquo;s life.
</li><li>We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.</li></ul></div>
Job Responsibilities
JOB SUMMARY<h3 class="jobSectionHeader">
The Principal research scientist is responsible for coordinating and carrying out the full spectrum of activities related to the development and validation of bioanalytical methods according to client requests and within the required timeframes.
</h3><h3 class="jobSectionHeader">JOB RESPONSIBILITIES</h3><ul><li>
Independently develop, validate and optimize bioanalytical methods or instruct other staff to do so.</li><li>
Drive innovation in the company's bioanalytical techniques.</li><li>
Process, analyze and interpret bioanalytical data and train and instruct staff on appropriate analysis techniques.</li><li>
Find solutions to problems related to the application of bioanalytical methods.</li><li>
Supervise and/or drive improvements in laboratory activity processes (method development and validation).</li><li>
Write and review bioanalytical method SOPs.</li><li>
Review scientific literature in order to guide the development of bioanalytical methods.</li><li>
Document and/or review documentation of activities related to the development and validation of bioanalytical methods.</li><li>
Can be called upon to assist with the training of new employees related to research and development and validation.</li><li>
Assist in competitive intelligence by developing and testing new analytical instruments.</li><li>
Coordinate resources to drive development of bioanalytical methods.</li><li>
Can be called upon to perform all biological sample processing and analysis activities.</li><li>
Can be called upon to supervise the work of laboratory staff.</li><li>
Supervise, coach, and mentor scientific staff.</li><li>
Oversee development of direct reports by setting goals, conducting performance reviews, evaluating and monitoring training needs, creating development plans, mentoring, and coaching.</li><li>
Set priorities and schedule activities of departmental resources, implement company objectives, and create alternative solutions to address business and operational challenges.</li></ul><ul><li>
Responsible for performing activities that are in compliance with applicable Corporate and Divisional Policies, Standard Operating Procedures and Operating Guidelines and performing other duties as assigned by management.</li></ul>
QUALIFICATION REQUIREMENTS (please indicate if &lsquo;preferred&rsquo;)<ul><li>
Bachelor&rsquo;s Degree in Science.</li><li>
Relative alternate certification may be considered acceptable.</li></ul><ul><li>
Experience in regulatory context will be considered an asset.</li><li>
Must demonstrate good computer skills especially in the utilization of Microsoft Word and Excel and analytical software (E.g. Analyst).</li><li>
Demonstrates skills in scientific problem solving.</li><li>
English level: Required bilingualism includes communicating verbally and in writing on topics that are often technical, and writing procedures or technical reports.</li></ul>
At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.
Salary Range:
$79,800.00 - $139,600.00
The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate&rsquo;s qualifications, skills, competencies, and proficiency for the role.
Get to know Syneos Health 
Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.
No matter what your role is, you&rsquo;ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.
http://www.syneoshealth.com
Additional Information 
Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
Summary
The Principal research scientist is responsible for coordinating and carrying out the full spectrum of activities related to the development and validation of bioanalytical methods according to client requests and within the required timeframes.</div></div></div></div><div></div>

Principal Research Scientist ONC -Clinical Development Scientist (Sponsor Dedicated/ Remote US)

Rensselaer Polytechnic Institute

<div>Who we are
Why Rensselaer? Join Rensselaer Polytechnic Institute's dynamic global community of changemaker including some of the world&rsquo;s leading researchers, students, alumni, and faculty who ask the important questions and devise the scientific and technological innovations that make the world a better place for all of humanity.
Nestled on a beautiful 275-acre campus in upstate NY, Rensselaer is home to five schools, 32 research centers, three makerspaces, an observatory, one of the world&rsquo;s fastest supercomputers, and IBM's Quantum System One - the first university-based quantum computer in the world.
<div>Over the past decade, the research portfolio at Rensselaer has been completely transformed. As a top-tier technological research university, Rensselaer has invested in strategic partnerships, talented researchers, and sophisticated research platforms to address the most pressing global challenges of the 21st century.
Today, the Rensselaer research enterprise comprises $104 million in annual research expenditures, supports a diverse range of research centers and platforms, and ensures the advancement of interdisciplinary research in six key areas:
<ul><li>Life Science &amp; Biotechnology (Bioscience, Bio Manufacturing, Diagnosis)</li>
<li>Future Computing (Data / AI, High Performance Computing, Quantum, Bits/Neurons/Qubits)</li>
<li>Energy, Environment, and Sustainability (Energy Solutions, Built Environment, Freshwater, Sustainability)</li>
<li>Materials &amp; Manufacturing (Mat. Discovery, Mat. Processing, Advanced Manufacturing, Robotics)</li>
<li>Microelectronics (Mat. &amp; Metrology, Hardware Co-design, Computational Microelectronics, Hetero-integration)</li>
<li>Fundamental Knowledge (AstroX, Origins, Cognitive &amp; Social, Financial)</li>
</ul>The cross-disciplinary research leverages a convergence of expertise in materials, advanced manufacturing, and control systems, emphasizing synergistic integration of these fields to derive system-level solutions to complex technological challenges. The faculty's research interests encompass a broad spectrum of areas, including but not limited to energy materials, nanomaterials, nanocomposites, nanoscale heat transfer, thermoelectrics, nanomechanics, fiber-reinforced composites, additive manufacturing, nonlinear control systems, micromachining, spaceflight dynamics and control, tribology, nonlinear dynamics, nuclear materials, biomaterials, smart and adaptive materials, as well as computational approaches in nanomechanics and biomechanics.
</div><div><div><div>The Office for Research collaborates with important external partners in the federal and state government, foundations and in industry to expand the impact our work and to support our world-class researchers as they improve lives, advance society, and change the world.
</div></div></div><div>The mission of the Office for Research is to drive and support the Research Enterprise, increase Rensselaer impact and visibility, and communicate to the national and international community that Rensselaer researchers are defining the frontiers of discovery and innovation.
</div>Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, # astronauts, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit www.rpi.edu.
Are you ready to change the world? Apply now!
Job Summary
Some of the areas that may be hiring researchers and research support positions in the area of Materials &amp; Manufacturing include:
<ul><li>Materials Discovery</li>
<li>Materials Processing</li>
<li>Advanced Manufacturing</li>
<li>Robotics</li>
</ul>Note: The availability of positions is dependent on the availability of sponsored funding. Not all areas will have all positions, and some areas may be fully staffed.
Qualifications
<ul><li>Postdoctoral Research Associate -
<ul><li>Candidates must have finished all requirements for their PhD or foreign equivalent at the beginning of their appointment</li>
</ul></li><li>Research Associate or (Sr.) Research Scientist -
<ul><li>Opportunities exist for those with a relevant advanced degree, publication record, and/or significant additional years of paid professional experience in a related position. Individuals who possess these qualifications and who have the potential to, or a demonstrated track record of being able to build collaborative external partnerships are especially desirable</li>
</ul></li><li>(Sr.) Research Specialist -
<ul><li>Positions require a relevant bachelor's degree / foreign equivalent or higher</li>
</ul></li><li>(Sr.) Research Engineer -</li>
<li>Research Assistant -
<ul><li>candidates must possess an associate's degree / foreign equivalent or relevant combination of experience, education and training</li>
</ul></li></ul>Pay transparency data:
Pay transparency disclosure: The actual salary/wage that is provided to selected candidates will be determined based on factors that include the available budget, internal equity, and the needs of the department, and the final candidate&rsquo;s qualifications, experience, education, and other job-related credentials. The following hiring ranges are provided as Rensselaer&rsquo;s good faith estimate of the expected hiring range at the time of posting.
Postdoctoral Research Associate: $62,354 - $65,000 / yr
 
Research Associate: $64,000 - $66,000 / yr
 
Research Scientist: $66,000 - $95,000 / yr
 
Sr. Research Scientist: $80,000 - $138,000 / yr
 
***
Research Specialist $18.00 - $26.44 / hr
 
Sr. Research Specialist $62,354 - 66,000 / yr
 
***
Research Engineer: $66,000 - $86,000 / yr
 
Sr. Research Engineer: $87,000 &ndash; $95,000 / yr
 
***
Research Assistant: $16.00 - $22.00 / hr
Application instructions 
Follow the on-screen prompts to create an application. Please be ready to upload any required documents, such as your resume and cover letter
If you need assistance with the online application process, please contact careers@rpi.edu
Job Posted Date
Applications will be accepted until the position is filled.
Total Compensation and Benefits Information
Rensselaer&rsquo;s Total Compensation Program is designed to provide stable pay growth, a comprehensive and affordable benefits package, and a comprehensive and affordable retiree medical and prescription plan. Rensselaer is recognized locally and nationally for the depth and breadth of its compensation and benefits program. Our goal is to provide you and your family with a comprehensive health and welfare program as an umbrella of financial security and protection during your employment. For more information, please visit Benefits | Human Resources (rpi.edu).<div> 
</div><div>Rensselaer Polytechnic Institute is committed to the cultivation of a community that is welcoming, inclusive, and above all values learning. We welcome candidates who bring a variety of perspectives to Rensselaer Polytechnic Institute's work and campus communities. Rensselaer Polytechnic Institute is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, protected veteran status, or other characteristic protected by law.</div> 
#LI-DNI</div>

Materials & Manufacturing Researchers

Stott and May

<div>
 
 Senior Data Scientist
 
 
 
 Manufacturing | Azure, Databricks &amp; Microsoft Fabric
 
 
 
 
 
 
 Our manufacturing client is looking for a
 
 Senior Data Scientist
 
 to help build data-driven solutions that improve operations and support business decision-making. You'll work with cross-functional teams to develop predictive models, analyze manufacturing data, and deliver insights using a modern Microsoft technology stack.
 
 
 
 
 
 Responsibilities
 
 <ul>
 <li>
 Develop machine learning models and analytical solutions to solve business problems.
 </li>
 <li>
 Analyze manufacturing, operational, and supply chain data to identify trends and opportunities.
 </li>
 <li>
 Build predictive models for forecasting, optimization, and operational reporting.
 </li>
 <li>
 Work with business stakeholders to understand requirements and translate them into data science solutions.
 </li>
 <li>
 Collaborate with Data Engineers to prepare and transform data for modeling.
 </li>
 <li>
 Present findings and recommendations to technical and non-technical audiences.
 </li>
 <li>
 Support the deployment and ongoing improvement of machine learning models.
 </li>
 </ul>
 
 
 
 
 Required Skills
 
 <ul>
 <li>
 5+ years of experience as a Data Scientist.
 </li>
 <li>
 Strong Python and SQL skills.
 </li>
 <li>
 Experience building and deploying machine learning models.
 </li>
 <li>
 Hands-on experience with
 
 Azure Databricks
 
 .
 </li>
 <li>
 Experience with
 
 Microsoft Fabric
 
 or other Microsoft analytics tools.
 </li>
 <li>
 Experience working with Azure cloud services.
 </li>
 <li>
 Strong understanding of statistics, predictive modeling, and data analysis.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Fully Remote
 
 
 
 
 12-month contract with possible extension
 
 
 
 
 40hr/week
 
 
 
 
 95-125/hourly W2 or LLC
 
 
 
 (There are
 
 no
 
 C2C options for this role)
 
 
 
 
</div>

Senior Data Scientist

JPMorganChase

<div>JOB DESCRIPTION 
 
 
At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data &amp; Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As a Machine Learning Scientist &ndash; Natural Language Processing (NLP) - Senior Associate, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast-paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.
Job responsibilities
<ul><li>Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)
</li><li>Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
</li><li>Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
</li><li>Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
</li></ul>Required qualifications, capabilities, and skills
<ul><li>PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, OR an MS with at least 2 years of industry or research experience in the field
</li><li>Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
</li><li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
</li><li>Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
</li><li>Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
</li></ul>Preferred qualifications, capabilities, and skills
<ul><li>Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
</li><li>Knowledge in search/ranking or Meta Learning
</li><li>Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code
</li><li>Published research in areas of Machine Learning or Deep Learning at a major conference or journal
</li></ul>#MLCOE_jobs
#CDAO_CAO_jobs
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of Excellence

Data Scientist, Analytics (Ranking, AI)

Explore 127+ Research scientist in New York this August. Find roles across top companies and apply now to boost your career.