273 Big Data Platforms jobs in New York
Director, Data Science Platform | Data Science Platform
10176 New York, New York
Rockefeller University
Posted 1 day ago
Job Viewed
Job Description
Organization Overview
The newly-created Data Science Platform (DSP) supports and advances the research objectives of Rockefeller Universitys faculty and staff by providing training and consultative support in the field of data science especially in the areas of machine learning and artificial intelligence (ML/AI) and deep learning (DL).
Overview
Reporting to the Chief Information Officer, and working primarily with Faculty, Research Staff, Postdoctoral Fellows, and Graduate Students, the Director leads a team of seven (7) Machine Learning Engineers that identify and work closely with internal and external resources to determine how to most effectively support University researchers' needs for applying ML/AI and/or other quantitative approaches to new and existing data sets across a wide variety of disciplines, including structural biology, imaging, microscopy, "omics," neuroscience, immunology/virology, and the physical sciences. The position also includes leadership of the Fisher Center AI Platform, which seeks to apply AI/ML techniques to understand the causes of Alzheimer's disease, improve the care of people living with it, and find a cure.
Responsibilities
Responsibilities include, but are not limited to the following:
+ Consult on experimental design and best usage, with emphasis on best practices for proper analysis and reproducibility;
+ Recruit and manage Data Science Platform staff members;
+ Develop and lead training/classes in ML/AI fundamentals and techniques; adapt and evolve training to best serve the changing needs of the research community;
+ Identify, improve, and/or create appropriate training data sets for ML/AI projects;
+ Advise researchers and collaborators on method selection and implementation, as well as on how to direct research projects to ensure alignment with emerging advancements in deep learning;
+ Maintain awareness of advances in the field and their applicability to problems of interest to members of Rockefeller's research community;
+ Identify and apply for appropriate grant funding opportunities;
+ Additional duties and special projects as assigned.
Qualifications
**REQUIRED QUALIFICATIONS:**
+ Ph.D. or equivalent degree in data science, machine learning, artificial intelligence, computer science, electrical engineering, statistics or a related field.
+ A minimum of ten (10) years of research experience in identifying, formulating and solving biological problems through the application of advanced artificial intelligence technologies.
+ At least two (2) years of leadership experience.
+ A strong publication record in top-tier venues focused on machine learning, artificial intelligence or their domain-specific applications, such as AAAI, NeurIPS, ICML, ICLR, IJCAI, KDD, ICCV, ECCV, CVPR, EMNLP, ACL, MICCAI, IJCV, TPAMI, TIP, ACM-MM, Nature, Nature Methods, Science and equivalent conferences and journals.
+ Broad knowledge on recent advances in artificial intelligence, such as foundation models (including large-language models, vision-language models, genomic foundation models, etc.), generative models, self-supervised learning, large-scale distributed training, efficient deep learning, with research expertise in at least one relevant field.
+ Basic knowledge of the deep learning tool stack, such as PyTorch, Python, CUDA, Linux, and computing cluster management.
+ Must possess excellent communication and interpersonal skills.
**PREFERRED QUALIFICATIONS:**
+ Prior work experience in a research related, academic environment is a plus.
The Rockefeller University is an equal opportunity employer - veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status.
The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Compensation Range: Min
USD $175,000.00/Yr.
Compensation Range: Max
USD $190,000.00/Yr.
The newly-created Data Science Platform (DSP) supports and advances the research objectives of Rockefeller Universitys faculty and staff by providing training and consultative support in the field of data science especially in the areas of machine learning and artificial intelligence (ML/AI) and deep learning (DL).
Overview
Reporting to the Chief Information Officer, and working primarily with Faculty, Research Staff, Postdoctoral Fellows, and Graduate Students, the Director leads a team of seven (7) Machine Learning Engineers that identify and work closely with internal and external resources to determine how to most effectively support University researchers' needs for applying ML/AI and/or other quantitative approaches to new and existing data sets across a wide variety of disciplines, including structural biology, imaging, microscopy, "omics," neuroscience, immunology/virology, and the physical sciences. The position also includes leadership of the Fisher Center AI Platform, which seeks to apply AI/ML techniques to understand the causes of Alzheimer's disease, improve the care of people living with it, and find a cure.
Responsibilities
Responsibilities include, but are not limited to the following:
+ Consult on experimental design and best usage, with emphasis on best practices for proper analysis and reproducibility;
+ Recruit and manage Data Science Platform staff members;
+ Develop and lead training/classes in ML/AI fundamentals and techniques; adapt and evolve training to best serve the changing needs of the research community;
+ Identify, improve, and/or create appropriate training data sets for ML/AI projects;
+ Advise researchers and collaborators on method selection and implementation, as well as on how to direct research projects to ensure alignment with emerging advancements in deep learning;
+ Maintain awareness of advances in the field and their applicability to problems of interest to members of Rockefeller's research community;
+ Identify and apply for appropriate grant funding opportunities;
+ Additional duties and special projects as assigned.
Qualifications
**REQUIRED QUALIFICATIONS:**
+ Ph.D. or equivalent degree in data science, machine learning, artificial intelligence, computer science, electrical engineering, statistics or a related field.
+ A minimum of ten (10) years of research experience in identifying, formulating and solving biological problems through the application of advanced artificial intelligence technologies.
+ At least two (2) years of leadership experience.
+ A strong publication record in top-tier venues focused on machine learning, artificial intelligence or their domain-specific applications, such as AAAI, NeurIPS, ICML, ICLR, IJCAI, KDD, ICCV, ECCV, CVPR, EMNLP, ACL, MICCAI, IJCV, TPAMI, TIP, ACM-MM, Nature, Nature Methods, Science and equivalent conferences and journals.
+ Broad knowledge on recent advances in artificial intelligence, such as foundation models (including large-language models, vision-language models, genomic foundation models, etc.), generative models, self-supervised learning, large-scale distributed training, efficient deep learning, with research expertise in at least one relevant field.
+ Basic knowledge of the deep learning tool stack, such as PyTorch, Python, CUDA, Linux, and computing cluster management.
+ Must possess excellent communication and interpersonal skills.
**PREFERRED QUALIFICATIONS:**
+ Prior work experience in a research related, academic environment is a plus.
The Rockefeller University is an equal opportunity employer - veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status.
The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Compensation Range: Min
USD $175,000.00/Yr.
Compensation Range: Max
USD $190,000.00/Yr.
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0
Data Science Bootcamp
14600 Rochester, New York
General Assembly
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
View Now
1
Data Science Bootcamp
11550 South Hempstead, New York
General Assembly
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
View Now
2
Data Science Bootcamp
14851 Ithaca, New York
General Assembly
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
View Now
3
Data Science Bootcamp
14266 Buffalo, New York
General Assembly
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
View Now
4
Analyst, Data Science
10261 New York, New York
Publicis Groupe Holdings B.V
Posted today
Job Viewed
Job Description
Company description
CoLab is a fully integrated, cross-discipline team that provides best-in-class services in a fluid and modular way. With our clients at the center, we create brand movement at the speed of people's lives by connecting real-time data with world-class creative, content, and media in service of growth and Return on investment.
CoLab is a "power of one" solution, encompassing data, media, and production. By drawing from across the vast Publicis Groupe network, we are uniquely positioned to deliver innovation and specialized skills to our clients, as well as enriching opportunities and inclusive benefits to our employees. We pride ourselves on combining the atmosphere of a startup company with the stability and experience of a global leader.
Overview
We don't all look the same, and we don't expect you to, either. But successful members of the Data Science team at Publicis Collective generally have a passion for emerging tech and media, bring a data-driven approach to decision-making, have a fresh perspective and share it in a positive way, don't shy away from a challenge, and are always hungry to learn more. We look for prior experience in media analytics, especially digital media. We hope you're a numbers whiz and know how to bring data to life through a compelling story.
Responsibilities
Additional information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact
Compensation Range: $54,910 - $83,145 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/17/2025.
All your information will be kept confidential according to EEO guidelines.
CoLab is a fully integrated, cross-discipline team that provides best-in-class services in a fluid and modular way. With our clients at the center, we create brand movement at the speed of people's lives by connecting real-time data with world-class creative, content, and media in service of growth and Return on investment.
CoLab is a "power of one" solution, encompassing data, media, and production. By drawing from across the vast Publicis Groupe network, we are uniquely positioned to deliver innovation and specialized skills to our clients, as well as enriching opportunities and inclusive benefits to our employees. We pride ourselves on combining the atmosphere of a startup company with the stability and experience of a global leader.
Overview
We don't all look the same, and we don't expect you to, either. But successful members of the Data Science team at Publicis Collective generally have a passion for emerging tech and media, bring a data-driven approach to decision-making, have a fresh perspective and share it in a positive way, don't shy away from a challenge, and are always hungry to learn more. We look for prior experience in media analytics, especially digital media. We hope you're a numbers whiz and know how to bring data to life through a compelling story.
Responsibilities
- Analysts form the foundation of the Data Science team.
- They pull and arrange data from a multitude of sources to feed business-improving insights, then build thoughtful presentations and reports that bring the story home to our clients.
- They work closely with their Director, Manager, and other Analysts to learn the most efficient and effective ways of wrangling with data and develop skills to become full-fledged story tellers.
- Proficiency and comfort working with Python and R programming language required.
- Proficiency and comfort with descriptive, diagnostic, predictive, and prescriptive analyses to support business decision-making, including with the use of machine learning.
- Proficiency and comfort working with relational databases and SQL required.
- 1+ year of experience working with large data sets or conducting quantitative analysis.
- Knowledge of Digital Media, Marketing/Advertising industries preferred.
- Positive attitude, diligence, and self-starter mindset.
- Ability and comfort with presenting work by phone or within small groups.
- Ability to communicate questions and understand requirements of analyses.
- Proficiency in Microsoft Office software such as Word, Excel and PowerPoint. Advanced Excel skills (ability to work with macros, advanced formulas, pivot tables).
- Ability to service clients, partners and internal stakeholders by understanding needs, translating those needs into creative solutions, and delivering on those solutions with diligence and a sense of urgency.
- Knowledge of digital media metrics (Impressions, Clicks, CTR, CPM, etc.). Knowledge of visualization tools like Tableau and Power BI.
Additional information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact
Compensation Range: $54,910 - $83,145 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/17/2025.
All your information will be kept confidential according to EEO guidelines.
View Now
5
Data Science Lead
12110 Latham, New York
Red Shift
Posted today
Job Viewed
Job Description
Are you passionate about leveraging data to drive business decisions? Our client, located near Albany, NY, is seeking a Data Science Lead to play a critical role in shaping the organization's data analytics strategy. This position requires a blend of technical expertise, leadership skills, and business acumen to transform complex data into actionable insights.
Responsibilities of the Data Science Lead will include:
- Develop and execute a vision for advanced analytics in collaboration with senior leadership.
- Lead and manage data science projects, ensuring alignment with business goals.
- Work closely with data architects, ETL developers, and business intelligence teams to design and implement data-driven solutions.
- Stay informed on emerging data science technologies and best practices.
- Present insights and recommendations to key stakeholders.
- Research and develop statistical models and machine learning algorithms for data analysis.
- Implement new mathematical or statistical methodologies as needed.
- Partner with data engineering teams to establish standards for data governance, transformation, and storage.
- Create data design documentation and models to guide software development teams.
- Evaluate performance and scalability requirements, ensuring optimal efficiency.
- Provide thought leadership in advanced analytics, assessing feasibility, costs, and potential business impact.
Qualifications of the Data Science Lead:
- Master's degree in Computer Science, Statistics, Applied Math, or a related field.
- 3+ years of hands-on experience with SAS, ETL, database programming, and data analytics.
- 4-8 years of experience in a data science or analytics-related role.
- Experience with Azure tools such as Synapse and Machine Learning.
- Strong background in data mining, statistical analysis, and predictive modeling.
- Proficiency in Python or R for data analytics and machine learning.
- Understanding of data transformation techniques and structures.
- Knowledge of enterprise architecture, data governance, and master data management.
- Ability to communicate complex insights to executive leadership.
- Strong collaboration skills with cross-functional teams.
- Proven ability to influence stakeholders and drive data-driven decision-making.
- Passion for innovation, methodology, and governance in data science.
Pay for this position is commensurate with experience and education, ranging roughly from $100,000 - $135,000, DOE.
To see a full listing of all our open positions, please visit:
redShift Recruiting is the region's premier recruiting agency with over 100 years of combined experience in the recruiting field. We specialize in permanent, temporary, and temp-to-hire positions. Our superior service combined with our highly qualified and carefully selected bank of candidates sets us apart.
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6
Data Science Associate
11101 Long Island City, New York
Public Health Solutions
Posted today
Job Viewed
Job Description
Company Overview:
Established in 1805, the New York City Department of Health and Mental Hygiene (the NYC Health Department) is the oldest and largest health department in the country. Our mission is to protect and improve the health of all New Yorkers, in service of a vision of a city in which all New Yorkers can realize their full health potential, regardless of who they are, how old they are, where they are from, or where they live. As a world-renowned public health agency with a history of building transformative public health programming and infrastructure, innovating in science and scholarship to advance public health knowledge, and responding to urgent public health crises - from New York City's yellow fever outbreak in 1822, to the COVID-19 pandemic - we are a hub for public health innovation, expertise, and programs, and services. We serve as the population health strategist, and policy, and planning authority for the City of New York, while also having a vast impact on national and international public policy, including programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and racial and social justice work, among others.
Job Summary:
The Bureau of Data Technology and Strategy seeks a Data Science Associate to provide technical support for the application of data science to study public health outcomes and solutions. The Data Science Associate will engage in the implementation of AI/ML research tools, bringing in-house solutions to scale, and adapting developed technologies to new use cases. Problem-solving and stakeholder engagement skills will be applied in the public health setting to facilitate research, advanced analytics, and operations.
The Data Science Associate will regularly interface with data engineers, data product developers, and data governance staff to integrate and maintain novel solutions into an enterprise data platform. The Data Science Associate will provide technical assistance to Agency users to promote and maintain the use of AI/ML technology solutions.
The Data Science Associate will also provide support to the Senior Research Data Scientist for proposal development including technical advisement on analytic approaches and methods, technology resource requirements, timelines, and intended outputs.
The successful candidate will be situated within a values-driven and highly collaborative work unit with strong technical and professional mentorship; professional development opportunities will be continuously available.
This position will be within the Health Department's innovative Center for Population Health Data Science (CPHDS). The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data to
be accessible, timely, equitable, meaningfully usable, and protected - and being actively to protect and promote health and wellbeing of New Yorkers. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant, but the work be supervised by DOHMH. This position will be based at the Health Department's office in Long Island City, NY, with the possibility of hybrid work.
Responsibilities:
At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don't have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities.
We look forward to learning more about you!
PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans.
Monday-Friday
Hybrid
35 Hours Per Week
Established in 1805, the New York City Department of Health and Mental Hygiene (the NYC Health Department) is the oldest and largest health department in the country. Our mission is to protect and improve the health of all New Yorkers, in service of a vision of a city in which all New Yorkers can realize their full health potential, regardless of who they are, how old they are, where they are from, or where they live. As a world-renowned public health agency with a history of building transformative public health programming and infrastructure, innovating in science and scholarship to advance public health knowledge, and responding to urgent public health crises - from New York City's yellow fever outbreak in 1822, to the COVID-19 pandemic - we are a hub for public health innovation, expertise, and programs, and services. We serve as the population health strategist, and policy, and planning authority for the City of New York, while also having a vast impact on national and international public policy, including programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and racial and social justice work, among others.
Job Summary:
The Bureau of Data Technology and Strategy seeks a Data Science Associate to provide technical support for the application of data science to study public health outcomes and solutions. The Data Science Associate will engage in the implementation of AI/ML research tools, bringing in-house solutions to scale, and adapting developed technologies to new use cases. Problem-solving and stakeholder engagement skills will be applied in the public health setting to facilitate research, advanced analytics, and operations.
The Data Science Associate will regularly interface with data engineers, data product developers, and data governance staff to integrate and maintain novel solutions into an enterprise data platform. The Data Science Associate will provide technical assistance to Agency users to promote and maintain the use of AI/ML technology solutions.
The Data Science Associate will also provide support to the Senior Research Data Scientist for proposal development including technical advisement on analytic approaches and methods, technology resource requirements, timelines, and intended outputs.
The successful candidate will be situated within a values-driven and highly collaborative work unit with strong technical and professional mentorship; professional development opportunities will be continuously available.
This position will be within the Health Department's innovative Center for Population Health Data Science (CPHDS). The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data to
be accessible, timely, equitable, meaningfully usable, and protected - and being actively to protect and promote health and wellbeing of New Yorkers. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant, but the work be supervised by DOHMH. This position will be based at the Health Department's office in Long Island City, NY, with the possibility of hybrid work.
Responsibilities:
- Support research that strengthens public health insights and actions through the use of data scientific methods, especially reusable, scalable AI/ML methods
- Identify and/or assist development of AI/ML methods and/or practices; promote them to agency's data analysts, data engineers, data scientists, and researchers through trainings and/or reports
- Contribute to development of health equity-focused data products
- Collaborate with CPHDS data engineers, product developers, product managers, and researchers to develop and launch public health analytic solutions for the Agency and the public health community at-large
- Collaborate with internal and external researchers and analysts for various research projects
- Author reports, presentations, and scientific papers based on analyses
- A minimum of 2 years of work experience in statistical learning development, with some work experience in the development of deep learning algorithms
- High fluency in the Python programming language is required, with proficiency in one of the deep-learning frameworks PyTorch or Tensorflow
- Experience in virtualization technology, particularly with working experience in cloud environments (e.g., Azure, GCP, AWS, Databricks)
- Experience in the development and deployment of foundation models
- Advanced knowledge and experience in data wrangling, analysis, and visualization
- Knowledge of public health research and operations, including health equity
- Experience developing user interfaces and dashboards, working with geospatial data a plus
- Ability to work with staff at all levels and to communicate complex technical knowledge in language that is understood at every level
- MS in quantitative field preferred
- Hybrid Work Schedule.
- Generous Paid Time Off and Holidays.
- An attractive and comprehensive benefits package including Medical, Dental and Vision.
- Flexible Spending Accounts and Commuter Benefits.
- Company Paid Life Insurance and Disability Coverage.
- 403 (b) + employer matching and discretionary company contributions.
- College Savings Plan.
- Ongoing training and continuous opportunities for professional growth and development.
- This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date.
- Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties.
- This individual will be expected to work non-business hours during emergencies.
- This is a temporary grant-funded position ending in November 2027
At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don't have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities.
We look forward to learning more about you!
PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans.
Monday-Friday
Hybrid
35 Hours Per Week
View Now
7
Analyst, Data Science
10261 New York, New York
Starcom Mediavest Group Germany Gmbh
Posted today
Job Viewed
Job Description
Company Description
CoLab is a fully integrated, cross-discipline team that provides best-in-class services in a fluid and modular way. With our clients at the center, we create brand movement at the speed of people's lives by connecting real-time data with world-class creative, content, and media in service of growth and Return on investment.
CoLab is a "power of one" solution, encompassing data, media, and production. By drawing from across the vast Publicis Groupe network, we are uniquely positioned to deliver innovation and specialized skills to our clients, as well as enriching opportunities and inclusive benefits to our employees. We pride ourselves on combining the atmosphere of a startup company with the stability and experience of a global leader.
Job Description
We don't all look the same, and we don't expect you to, either. But successful members of the Data Science team at Publicis Collective generally have a passion for emerging tech and media, bring a data-driven approach to decision-making, have a fresh perspective and share it in a positive way, don't shy away from a challenge, and are always hungry to learn more. We look for prior experience in media analytics, especially digital media. We hope you're a numbers whiz and know how to bring data to life through a compelling story.
Responsibilities
Additional Information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact
Compensation Range: $54,910 - $83,145 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/17/2025.
All your information will be kept confidential according to EEO guidelines.
CoLab is a fully integrated, cross-discipline team that provides best-in-class services in a fluid and modular way. With our clients at the center, we create brand movement at the speed of people's lives by connecting real-time data with world-class creative, content, and media in service of growth and Return on investment.
CoLab is a "power of one" solution, encompassing data, media, and production. By drawing from across the vast Publicis Groupe network, we are uniquely positioned to deliver innovation and specialized skills to our clients, as well as enriching opportunities and inclusive benefits to our employees. We pride ourselves on combining the atmosphere of a startup company with the stability and experience of a global leader.
Job Description
We don't all look the same, and we don't expect you to, either. But successful members of the Data Science team at Publicis Collective generally have a passion for emerging tech and media, bring a data-driven approach to decision-making, have a fresh perspective and share it in a positive way, don't shy away from a challenge, and are always hungry to learn more. We look for prior experience in media analytics, especially digital media. We hope you're a numbers whiz and know how to bring data to life through a compelling story.
Responsibilities
- Analysts form the foundation of the Data Science team.
- They pull and arrange data from a multitude of sources to feed business-improving insights, then build thoughtful presentations and reports that bring the story home to our clients.
- They work closely with their Director, Manager, and other Analysts to learn the most efficient and effective ways of wrangling with data and develop skills to become full-fledged story tellers.
- Proficiency and comfort working with Python and R programming language required.
- Proficiency and comfort with descriptive, diagnostic, predictive, and prescriptive analyses to support business decision-making, including with the use of machine learning.
- Proficiency and comfort working with relational databases and SQL required.
- 1+ year of experience working with large data sets or conducting quantitative analysis.
- Knowledge of Digital Media, Marketing/Advertising industries preferred.
- Positive attitude, diligence, and self-starter mindset.
- Ability and comfort with presenting work by phone or within small groups.
- Ability to communicate questions and understand requirements of analyses.
- Proficiency in Microsoft Office software such as Word, Excel and PowerPoint. Advanced Excel skills (ability to work with macros, advanced formulas, pivot tables).
- Ability to service clients, partners and internal stakeholders by understanding needs, translating those needs into creative solutions, and delivering on those solutions with diligence and a sense of urgency.
- Knowledge of digital media metrics (Impressions, Clicks, CTR, CPM, etc.). Knowledge of visualization tools like Tableau and Power BI.
Additional Information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact
Compensation Range: $54,910 - $83,145 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/17/2025.
All your information will be kept confidential according to EEO guidelines.
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8
Data Science Lead
10261 New York, New York
Diverse Lynx
Posted today
Job Viewed
Job Description
Title: Data Science Lead
Location: Dallas, TX & NY/NJ
Duration: Long Term
Job Description:
Who are we looking for?
Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques.
The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.
We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.
Responsibilities :
Technical Skills - Must have:
Technical Skills - Good to have:
Education:
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Location: Dallas, TX & NY/NJ
Duration: Long Term
Job Description:
Who are we looking for?
Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques.
The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.
We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.
Responsibilities :
- Lead data science and machine learning projects, contributing to model development, optimization and evaluation.
- Perform data cleaning, feature engineering, and exploratory data analysis.
- Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.
- Collaborate with other DS and engineers to deliver projects.
Technical Skills - Must have:
- Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.
- Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.
- Ability to translate complex machine learning problem statements into specific deliverables and requirements.
- Should have worked with major cloud platforms such as AWS, Azure or GCP.
- Working knowledge of SQL and no-SQL databases.
- Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.
- Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.
- Strong understanding of evaluation and monitoring metrics for machine learning projects.
Technical Skills - Good to have:
- Track record of getting ML models into production
- Experience building chatbots.
- Experience with closed and open source LLMs.
- Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen.
- Certifications or courses in data science.
Education:
- Master's/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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