354 Specialized Fields jobs in Uniondale

We are seeking a skilled Machine Learning Engineer I to join our team in the SinAI Assurance Lab. The Machine Learning Engineer will play a key role in Machine Learning Operations and will be for designing, maintaining, and optimizing data infrastructure and model validation pipelines that ensure all AI systems, Generative and Non-Generative, deployed across the Mount Sinai Health System (MSHS) are rigorously validated for compliance, performance, and patient safety.

You will work closely with AI product teams, clinical and technical stakeholders, DevOps engineers, and the AI Governance Committee to engineer scalable data flows that support model validation, real-time monitoring, and simulation-based testing environments.

General Data Engineering

• Build and maintain robust ETL pipelines for structured and unstructured clinical data from EHR, imaging, and text sources.
• Design systems to automate data preparation, lineage tracking, and reproducibility for AI model inputs and outputs.
• Develop data infrastructure for benchmarking and stress-testing models in clinical simulation environments.
• Collaborate with DevOps and cloud teams to ensure deployment pipelines meet compliance and performance standards.
• Set up and monitor model tracking infrastructure for evaluation metrics and drift detection.
• Assist in the development of standards and procedures affecting data management, design and maintenance. Documents all standards and procedures.

AI Assurance & Governance

• Engineer and maintain pipelines that support pre-deployment model validation and post-deployment monitoring.
• Collaborate with Data Scientists and Clinical Product Owners to validate data integrity, reproducibility, and fairness in AI workflows.
• Ensure compliance with HIPAA, ethical guidelines, and institutional governance policies on sensitive health data use.
• Build dashboards and tools that provide observability across the ML lifecycle: data, models, outcomes.

Stakeholder Engagement & Others

• Effective communicate technical findings related to model and data integrity to governance teams, clinical stakeholders, and leadership.
• Maintain clear and well-organized documentation of data workflows, platform architecture, and validation processes.
• Help write internal reports on data infrastructure resilience, validation system status, and operational risk.
• Stay informed on industry best practices in data engineering and healthcare-focused machine learning.
• Possess an extremely flexible attitude. Willing to work with multiple types of technologies and languages with an open mind and without technology bias. Continuous interest in updating skill sets and knowledge of trends in the Big Data Technology space.
• Work closely with cross-functional teams including data scientists, healthcare providers, and IT professionals to understand data requirements, develop solutions, and support data-driven decision-making.
• Other duties as assigned

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field; Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Information Technology, Mathematics, Physics) is preferred.
• 2+ years of experience in data engineering, software engineering, or machine learning.
• Proficient in Python and SQL
• Proficiency in at least one cloud computing platforms (e.g., AWS, Azure, GCP)
• Intermediate knowledge of Machine Learning
• Familiarity with ML lifecycle management tools (e.g., Kubeflow, Airflow)
• Experience on deployment and operationalization of ML Systems
• Experience with monitoring tools for AI model tracking
• Understanding of DevOps principles, CI/CD pipelines, and containerization (e.g., Docker, Kubernetes)
• Experience with version control systems (e.g., Git) Knowledge of big data technologies (e.g., Hadoop, Spark)
• Strong problem-solving skills and ability to work in cross-functional teams

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $ - $ Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

As a Senior Internal Audit Associate within the Chief Data & Analytics organization, you will assist with ongoing risk assessment, control identification, audit execution, and continuous monitoring activities. This role is perfectly suited for an experienced IT audit professional with a keen interest and understanding of Artificial Intelligence and Data, as well as the audit and risk skills necessary to effectively execute global audits.

Job Responsibilities:

• Participate in audit engagements from planning to reporting and produce quality deliverables to both department and professional standards while ensuring audits are completed timely and within budget
• Partner with colleagues and stakeholders to evaluate, test and report on the design and operating effectiveness of management's controls
• Communicate audit findings to management and identify opportunities for improvement
• Create and maintain collaborative working relationships with stakeholders, while providing independent challenge
• Contribute to a collaborative working environment with team members and peers, supporting a culture that encourages integrity, respect, excellence and innovation
• Stay up to date with evolving industry and regulatory developments
• Find ways to drive efficiencies in audit process through automation while embracing the innovative opportunities offered by new technologies

• Bachelor's degree (or relevant financial services experience) required.
• Experience with auditing technology controls and an understanding of emerging technology (e.g., Artificial Intelligence/Machine Learning).
• One of the following professional qualifications is required: Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP).
• Experience with internal audit methodology and applying concepts in audit delivery and execution.
• Solid understanding of internal control concepts, with the ability to evaluate and determine the adequacy of controls by considering business and technology risks in an integrated manner.
• Excellent verbal and written communications skills.
• Advanced analytical skills, particularly in regard to assessing the probability and impact of an internal control weakness.
• Enthusiastic and self-motivated, with a keen interest in learning; effective under pressure and willing to take personal responsibility/accountability.

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.

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.

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 & Co. is an Equal Opportunity Employer, including Disability/Veterans

Base Pay/Salary
Jersey City,NJ $99,750.00 - $145,000.00 / year

Does using data science to solve business problems sound intriguing? Enjoy working collaboratively with diverse teams? Analytical, strategic and tech savvy? Then working within our Credit Services Team at Spectrum may be a great fit for you.

At Spectrum, we keep more than 32 million customers connected across our 41-state footprint. Our Credit Services Team uses advanced analytics and data science to develop credit solutions for our mobile and cable customers. Our customer-centric approach to finding solutions helps deliver the exceptional services and experiences Spectrum is known for.

BE PART OF THE CONNECTION

As a Data Scientist in the Credit Services department, youll work in a fast-paced, collaborative environment to develop data-driven solutions to Charters business problems. Youll be empowered to think of new approaches, use analytical, statistical and programming skills to analyze and interpret data sets, and learn new skills while growing your career with Spectrum. The position leads development and analysis of new Credit Services strategies, partnering with Credit Services subject matter experts, as well as operations partners, to create new approaches and improve risk mitigation performance.

WHAT OUR DATA SCIENTISTS ENJOY MOST

• Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business
• Partnering on the design and implementation of statistical data quality procedures for existing and new data sources
• Communicating complex data science solutions, concepts, and analyses to team members and business leaders
• Presenting data insights & recommendations to key stakeholders
• Establishing links across existing data sources and finding new, interesting data correlations
• Ensuring testing and validation are components of all analytics solutions

Youll work in a dynamic office environment. Youll excel in this role if you are a self-starter who can work independently as well as in a team. If youre comfortable presenting data and findings in front of team members & stakeholders and have excellent problem-solving skills, this could be the role for you.

WHAT YOULL BRING TO SPECTRUM

Required Qualifications

• Experience : Data analytics experience: 3 years, programming experience: 2 years
• Education : Bachelors degree in computer science, statistics, or operations research, or equivalent combination of education and experience
• Technical skills : Python, R, comprehensive SQL skill, Spark, Hive
• Skills : Ability to read, write, speak & understand English, time management, maintain confidentiality
• Abilities : Perform in-depth & independent research and analysis, knowledge of core computer science principles, command of statistical techniques and machine learning algorithms
• Travel : As required (10%)

Preferred Qualifications

• Experience : Credit risk modeling/analysis in finance industry
• Education : Masters degree in data science, statistics, machine learning, or other quantitative master of science

SPECTRUM CONNECTS YOU TO MORE

• Dynamic Growth : The growth of our industry and evolving technology powers our employees careers as they move up or around the company
• Learning Culture : We invest in your learning, and provide paid training and coaching to help you succeed
• Supportive Teams : Be part of a strong community that gives you opportunities to network and grow, and wants to see you succeed

Apply now, connect a friend to this opportunity or sign up for job alerts!

Founded in 1964, New York Blood Center Enterprises (NYBCe) has provided more than 60 years of lifesaving research, innovation, and impact. NYBCe is one of the largest nonprofit blood centers, spanning 17+ states and serving 75 million people. NYBCe operates Blood Bank of Delmarva, Community Blood Center of Kansas City, Connecticut Blood Center, Memorial Blood Centers, Nebraska Community Blood Bank, New Jersey Blood Services, New York Blood Center, and Rhode Island Blood Center, delivering one million blood products to 400+ U.S. hospitals annually. NYBCe additionally delivers cellular therapies, specialty pharmacy, and medical services to 200+ research, academic, and biopharmaceutical organizations. NYBCe's Lindsley F. Kimball Research Institute is a leader in hematology and transfusion medicine research, dedicated to the study, prevention, treatment and cure of bloodborne and blood-related diseases. NYBC serves as a vital community lifeline dedicated to helping patients and advancing global public health. To learn more, visit nybc.org. Connect with us on Facebook, X, Instagram, and LinkedIn.

The Data Scientist will work within the Enterprise Analytics and Data Science team to become an expert at understanding all NYBCe data domains and participate in delivering high-quality, high-velocity data products. This includes developing, training, and monitoring high-fidelity models and analyses to optimize products and processes as well as test the effectiveness of different courses of action.

Candidates must be able to report into one of the following NYBCe locations: New York City, NY; Kansas City, Missouri; St. Paul, Minnesota; Providence , RI and Newark, DE.

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Partner with the data engineering and analytics team to define measurement approaches, quantify and evaluate success, develop KPIs, and guide tracking efforts for ongoing measurement and reporting.
• Tackle complex and ambiguous analysis projects: provide clarity and leverage tools to answer complicated business questions.
• Use a variety of modeling techniques to increase and optimize donor, customer, and employee experiences, revenue generation, ad targeting, and other business outcomes.
• Perform detailed data/process analysis and create supporting visualizations and reports.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Ensure data quality and data hygiene across enterprise reporting platforms focusing on consistent, timely, and accurate data. Run regular tests and discrepancy checks to ensure continuity, accuracy, and quality of data.
• Develop reporting, visualizations, dashboards, and analytics products for all departments across the enterprise.
• Identify opportunities to improve reporting and analytics processes and identify opportunities to automate tasks.
• Any related duties as assigned.

Education:

• Bachelor's Degree in Information Technology, Computer Science, or a related area.
• Master's or Ph.D. in Statistics, Mathematics, Computer Science, or another quantitative field.

Experience:

• 4+ years of industry experience in data science, business analytics, statistics, business intelligence, or comparable data analysis role, including data warehousing and business intelligence tools, techniques, and technology.
• At least 4+ years of hands-on experience with Python and or R for statistical data analysis is required.
• Experience with Tableau, R/R-Shiny, or Python libraries (Matplotlib, Seaborn, ggplot.) to create impactful reports, visualizations, and interactive dashboards is required.
• 4+ years of experience manipulating data sets and building statistical models

Knowledge:

• Experience using statistical computer languages (R, Python, SLQ, etc.) to extract, manipulate and draw insights from large data sets.
• Knowledge in statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis.
• Experience analyzing data from 3rd party providers: Google Analytics, Facebook, etc.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.).

Skills:

• Must be an analytical mind, critical thinker, and problem solver.
• Detail-oriented with strong organization and time management skills.
• Attention to detail and organizational skills
• Cultural competency and the ability to communicate effectively in a culturally sensitive manner with both individuals and groups from diverse backgrounds.

Abilities:

• Strong problem-solving skills with an emphasis on product development.
• Ability to work independently or as part of a team
• Ability to interact with customers one to one or in large groups
• Excellent oral, written and presentation skills are mandatory
• Ability to build in receiving feedback as part of the development process, seek consistent and constructive feedback.
• Ability to embrace accountability and ownership.

A combination of education, training, and experience will be considered to meet the total required years of experience.

For applicants who will perform this position in New York City or Westchester County, the proposed annual salary is 110,000.00p/yr. to 120,000.00p/yr. For applicants who will perform this position outside of New York City or Westchester County, salary will reflect local market rates and be commensurate with the applicant's skills, job-related knowledge, and experience.

Position reporting into our New York location: 110,000 - 120,000

Positions reporting into our Rhode Island location: 105,000 - 115,000

Positions reporting into our Minnesota location: 105,000 - 115,000

Position reporting into our Delaware location: 100,000 - 110,000

Positions reporting into our Nebraska location: 100,000 - 110,000

Positions reporting into our Missouri location: 100,000 - 110,000

Unless otherwise specified, all posted opportunities are located in the New York or Greater Tri-State office locations.

Hope you are doing well

Number of Position: 2

Only W2

I, Abhishek would like to share a job opportunity as Data Scientist in Jersey City NJ location for a W2 position.

*** In case, if you are not comfortable with this location, please share your preference with contact details for further requirements ***

Kindly find the JD below and let me know if you are available for the same.

Data Scientist
Job Location - Jersey City NJ
Duration: W2

Job Description:
"Skill: Data Scientist

Required Skills:
Machine Learning, Hypothesis Testing, Regression Analysis, Predictive Modeling, and Natural Language Processing, Python/R, SQL, pyTorch, Tensorflow
Desired Skills:
Strong Math and Statistics background.
Familiar with machine learning product system design.
Familiar with Large Language model.
Proficient in model documentation and model governance.
Position Summary:
Work with business SMEs to understand data requirements and translate them into predictive models and analytical tools.
Apply techniques in natural language processing and applied mathematics to develop text classification tools to automate the existing manual review of the documents.
Present information using data visualization techniques and communicate findings and mine useful insights.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop processes and tools to monitor and analyze model performance.

Please reply me with your updated resume and required details:

Full Name:
Contact Number-
Work authorization/Visa Status:
Current Location:
LinkedIn Id:

Waiting for your earliest response

Sincerely yours,
Abhishek Rana
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct:
LinkedIn -
Boston, MA

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

The JPMorgan Chase Commercial & Investment Bank is undertaking a strategic, initiative called Client 360 aimed at developing a big data platform and Firmwide solution for Entity Resolution and Relationships. We are seeking Big Data Software Engineers and Data Scientists with skills and experience implementing large-scale, cloud platform processing large amount of data. We are also seeing Data Scientists with skills and experiencing in AI/ML to implement creative ML and agentic AI solutions. This individual will work on groundbreaking work to implement new solutions for Client 360 - Entity Resolution and Relationships and also enhance the existing platform.

Job responsibilities

• Identify, analyze, and interpret trends or patterns in complex data sets
• Innovate new ways of managing, transforming and validating data
• Implement new or enhance services and scripts
• Ideate, propose and implement AI/ML/LLM solutions for complex problems and automate manual processing using agentic frameworks
• Acquire and manage data from primary and secondary data sources and build ETL pipelines
• Apply quality assurance best practices to all work products
• Analyze, design and implement business-related solutions and core architectural changes using Agile programming methodologies with a development team
• Comfortable learning cutting edge technology stacks and applications to greenfield projects

• Proficiency in advanced Python programming, with extensive experience in utilizing libraries such as Pandas and NumPy.
• Experience in code and infrastructure for Big Data technologies (e.g. Spark, Kafka, Databricks etc.) and implementing complex ETL transformations
• Experience with AWS services including EC2, EMR, ASG, Lambda, EKS, RDS and others
• Experience developing APIs leveraging different back-end data stores (RDS, Graph, Dynamo, etc.)
• Experience in writing efficient SQL queries
• Strong understanding of linear algebra, statistics, and algorithms.
• Strong Experience with UNIX shell scripting to automate file preparation and database loads
• Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues
• Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Strong development discipline and adherence to best practices and standards.

• Experience in Data Science, Machine Learning and AI is a plus
• Experience in Agentic frameworks, lang chain and lang graph is a plus
• Financial Services and Commercial banking experience is a plus
• Familiarity with NoSQL platforms (MongoDB, AWS Open Search) is a plus