13,587 Data Science Positions jobs in the United States
Data Science
Posted 3 days ago
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Job Description
Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay.
We recently raised a $35 million Series B funding round led by Sequoia Capital, with continued backing from venture capital firms Kleiner Perkins, Khosla Ventures, Saga VC, and South Park Commons, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin).
Learn more at tryprofound.com.
Profound is on a mission to help companies understand and control their AI presence. As a Data Scientist , you'll map every human-AI interaction to help brands turn AIs into their strongest advocates. You'll build predictive models, develop sampling techniques, and optimize brand visibility in AI-driven search (e.g., ChatGPT, Perplexity). Your work will directly impact how businesses shape their presence in the generative AI era.
What You'll Do
- Develop and refine predictive models to analyze and forecast AI-driven search behavior.
- Design sampling and data classification techniques to improve AI-driven brand insights.
- Leverage LLMs/NLP to extract meaningful insights from unstructured text data.
- Work with large datasets, ensuring efficiency in querying, cleaning, and classification.
- Design and conduct A/B tests or other experimentation frameworks to measure impact.
- Collaborate with the founding team to turn complex data insights into actionable business strategies.
- 3+ years of advanced analytics experience in technology, marketing, or advertising.
- Proficient in Python, R, and SQL, with hands-on experience querying and analyzing large datasets.
- Expertise in data sampling techniques, including stratified sampling, bootstrapping, and extrapolation.
- Strong background in predictive modeling and applying ML techniques to estimate event frequency.
- Deep understanding of Large Language Models (LLMs), their limitations, and real-world applications.
- Passionate about staying on top of AI research, especially in multi-modal AI and LLM advancements.
- Comfortable in a fast-moving, high-performance startup environment.
This is an on-site role in our Union Square office-designed for builders who thrive on speed, iteration, and impact.
Data Science
Posted 5 days ago
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Job Description
Job Description
Job Title: Data Scientist – Machine Learning, Big Data, GenAI (8–10 Years Experience)
Location: Remote | Employment Type: Contract
About the Role
We are seeking a highly experienced Data Scientist with 8–10 years of expertise in delivering production-grade AI/ML solutions at scale. This role requires deep technical proficiency in Machine Learning , Big Data , Generative AI (GenAI) , and Large Language Models (LLMs) , combined with hands-on cloud experience (AWS, Azure, or GCP) and expertise in data platform migration . You will lead end-to-end projects, from architecture design to deployment, while mentoring teams, optimizing performance, and aligning solutions with business objectives.
Key Responsibilities
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Design, develop, and deploy end-to-end AI/ML solutions in cloud-native environments .
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Architect and implement Generative AI solutions leveraging LLMs (e.g., GPT, LLaMA, Claude, Mistral) and Retrieval-Augmented Generation (RAG) pipelines with vector search .
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Build and optimize Big Data pipelines using Apache Spark, PySpark , and Delta Lake integrated with cloud storage (AWS S3, Azure Data Lake, GCP Cloud Storage).
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Design and maintain scalable lakehouse architectures using Databricks , Snowflake , or Delta Lake .
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Deploy MLOps pipelines using MLflow , SageMaker , Azure ML , or Vertex AI with Docker , Kubernetes , and CI/CD tools (e.g., Jenkins, GitHub Actions).
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Implement and manage vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate, ChromaDB ) for RAG applications.
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Oversee ETL/ELT workflows using tools like Airflow , dbt , or Azure Data Factory .
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Lead cloud migration projects , including Hadoop-to-Databricks and Hive-to-Delta Lake transitions, ensuring minimal downtime and data integrity.
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Integrate real-time streaming data solutions using Apache Kafka .
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Conduct feature engineering , hyperparameter tuning , and model optimization to ensure scalability and performance .
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Mentor junior data scientists and guide best practices for AI/ML development and deployment.
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Collaborate closely with product , engineering , and executive teams to align AI solutions with business KPIs and compliance requirements .
Required Skills & Experience
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8–10 years of experience in data science , machine learning , and AI/ML solution delivery .
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Strong hands-on expertise in at least one major cloud platform ( AWS , Azure , or GCP ), with proven production deployments .
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Expertise in Python , PySpark , and SQL for building scalable ML pipelines.
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Proven experience with Apache Spark , Hadoop , and Big Data processing .
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Hands-on experience with Generative AI frameworks, including Hugging Face , LangChain , or LlamaIndex .
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Deep expertise in RAG architectures and vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate ).
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Experience in deploying MLOps workflows using MLflow , Docker , Kubernetes , and CI/CD tools (e.g., GitLab CI , GitHub Actions ).
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Proven migration experience , including AI/ML workloads and Big Data platform migrations (e.g., Hadoop to Databricks , Hive to Delta Lake ).
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Familiarity with cloud storage solutions ( AWS S3 , Redshift , Azure Synapse , GCP BigQuery ) and infrastructure-as-code (e.g., Terraform , CloudFormation , ARM templates ).
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Experience with streaming data technologies (e.g., Apache Kafka ) and distributed query engines (e.g., Hive , Presto , Trino ).
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Strong foundation in statistics , probability , and ML algorithms for model optimization.
Preferred Qualifications
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Experience with knowledge graphs and semantic search .
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Background in NLP , transformer architectures , and deep learning frameworks (e.g., TensorFlow , PyTorch ).
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Exposure to BI tools (e.g., Power BI , Tableau , Looker ).
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Domain expertise in finance , healthcare , or e-commerce .
Data Science
Posted 14 days ago
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Job Description
Duration-Contract
Location- Urbana, MD
JD
• Minimum 7 years of IT Experience• Minimum 2 years of experience in developing AI enabled solutions• Expert level competency in Python• Hands-on experience developing and deploying Machine Learning solutions• Good knowledge and experience in developing GenAI embedded solutions• Hands-on experience with AI cloud services is an added advantage Key Responsibilities:• Machine Learning based model building, validation, deployment, and monitoring• Developing MLOps solution for continuous development , deployment, and monitoring of solutions• Developing GenAI embedded solutions across various use cases• Rapid experimentation of GenAI use cases using Azure cloud AI and data services• Development and deployment of GenAI embedded solutions using open source solutions
Regards,
Pallavi Verm
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
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Data Science
Posted 21 days ago
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Job Description
Duration-Contract
Location- Austin, TX~ Sunnyvale, CA
Jd
1. Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM.
2. Extensive experience in TIME SERIES.
3. Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite.
4. Strong background in DNN, CNN, RNN(LSTM), GAN, and libraries to deploy these models, such as Sklearn, Keras, Pandas, and TensorFlow.
5. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
6. Experience with common data science toolkits and libraries, such as Pandas, NumPy, SciPy, Scikit-learn.
7. Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs.
Data Science, Python, TIME SERIES, NLP, LLM
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
Data Science
Posted 21 days ago
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Job Description
Data Science
Bentonville, AR - Initially Remote
We're looking for an incredible Senior Data Scientist with Machine Learning Ex. AND DEPLOYMENT OF PYTHON WORKFLOWS.
*Team Supports:
What you'll do: Int'l merchandising. anything that goes on the shelf. and forecasting.
*In charge of last mile and middle mile delivery.
Issues: Lack of ML Engineers. Data scientist on his team do not know how to build API's
- Involve in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processing and distributed computing Research and development of computer vision and machine learning algorithms for object detection, recognition,segmentation, and tracking Actively attend premier conferences and events in the community Design, implement and deliver computer vision software systems to facilitate retail business Build scalable solutions to some of the challenging recognitionproblems in computer vision and continuously improve performance of existing algorithms.
- Drive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructures.
- Maintain substantial knowledge of state-of-the-art principles and theories related to computer vision.
- Serve as technical lead in vision area and work closely with other data scientists, software engineers, product managers and operations to create high quality and highly performing solutions.
Data Science
Posted 21 days ago
Job Viewed
Job Description
Data Science
Job Locations
US-AZ-Fort Huachuca
Requisition ID
2025-156937
Position Category
Cyber Security
Clearance
Top Secret/SCI
Responsibilities
Secure Division Support. The GCC provides CSSP responsibilities and conducts DODIN Operations and DCO - Internal Defensive Measures (IDM) to protect the DODIN IAW the DoDM 8530.01 and the DoD Cybersecurity Services Evaluator Scoring Metrics (ESM). These responsibilities are broken into five (5) CSSP functions; Identify, Protect, Detect, Respond, and Recover. GCC is responsible to conduct these functions for its assigned portion of the DODIN for both unclassified and classified networks/ systems. The division provides support services for the protection, monitoring, analysis, detection, and response to unauthorized activity within the DoD Information Systems and Networks. DCO-IDM services are required to defend against unauthorized activity on all Army assets residing on the NIPRNet and SIPRNet. The division provides defensive measures to protect and defend information, computers, and networks from disruption, denial, degradation, or destruction. The division provides sensor management and event analysis and response for network and host-based events. For sensor management, the division provides management of in-line Network Intrusion Protection System/Network Intrusion Detection System (NIPS/NIDS) sensors monitoring all CONUS DoDIN-A NIPRNet and SIPRNet Enterprise traffic to detect sensor outages and activities that attempt to compromise the confidentiality, integrity, or availability of the network. In coordination with GCC Operations, DCO initiates defensive security procedures upon detection of these attacks. Event analysis and response includes the processes involved with reducing multiple cyber incidents to actual malicious threat determinations and mitigating those threats IAW guidance received from GCC Government leadership. Support the Government in providing services for CSSP services on both the NIPRNet and SIPRNet IAW Appendix E: Secure Division Workload Assessment in support of the CONUS portion of the DoDIN-A. Develop reports and products, both current and long-term, in support of CSSP and course of action development. Prepare Tactics, Techniques, and Procedures (TTP), SOPs, Executive Summary (EXSUMS), trip reports, and information/point papers. Contribute during the preparation of agreements, policy, and guidance documentation such as Memorandums of Understanding / Agreement (MOU/A), Service Level Agreements (SLA).
* Defensive Cyber Infrastructure (DCI) Support. Perform the following DCI functions:
* Develop and distribute content provided by security platform vendors at least weekly and as needed.
* Develop and distribute in-house content based on tippers from higher organizations and the Threat Hunt team.
* Provide content development and distribution to tactical edge customers and develop TTPs for doing so.
* Consolidate different data sources into a single view used to assess the status of a specific threat on the network.
* Develop and/or maintain dashboards displaying specific CSSP items of interest (i.e. top 10 attackers, top 10 destinations, top attack vector, etc.) and all active cyber incidents, in near real time, within each respective AOR.
* Maintain, update, test, and implement signatures and policies for each sensor managed by GCC.
* Changes must be approved through the established ITIL process.
* Develop signatures and policies that include both network- and host-based sensors.
* Update as necessary to minimize false positives and validate for proper syntax.
* Conduct all development and testing on isolated networks.
* Document and conduct testing activity with plan procedures, results, and operational procedures as signatures are developed and/or updated.
* Update and validate plan at least annually. A signature test plan shall be developed.
Basic Qualifications:
- 8 years with BS/BA; 6 years with MS/MA; 3 years with PhD
- Certifications: DCWF Code 521 Advanced: Certified Information Systems Security Professional (CISSP) or GIAC Certified Intrusion Analyst (GCIA) or GIAC Cloud Security Essentials (GCLD) or GIAC Defensible Security Architecture (GDSA) or GIAC Global Industrial Cyber Security Professional (GICSP) or GIAC Security Essentials Certification (GSEC) or Information Systems Security Architecture Professional (ISSAP) or Information Systems Security Engineering Professional (ISSEP)
- Active TS/SCI Clearance
- Ability to conduct vulnerability assessments and monitor networks to support test and operational environment requirements.
- Solid understanding of data transport, encryption, networking, IT systems, and cybersecurity fundamentals.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range$66,000 - $106,000. This represents the typical salary range for this position based on experience and other factors.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Data Science
Posted 21 days ago
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Job Description
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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Data Science
Posted 21 days ago
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Job Description
Duration-Contract
Location- Cupertino, CA
JD
- Data Scientist with strong Statistical Fundamentals learning Python with Pandas and NumPy Experience Strong Visualization
- Experience Strong understanding of Data Science Cycle OOP
- Python with Scientific and mathematical Experience and state Experience Need
- Digital : Data Visualization, Python for Data Science, Object Oriented Programming, Statistics & Analytics
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
Director, Data Science Platform | Data Science Platform
Posted 24 days ago
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Job Description
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.
Data Science/Data Architect
Posted 21 days ago
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Job Description:
The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services.
Responsibilities:
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Set up R Studio Workbench, Connect, and Package Manager on a Linux server.
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Manage libraries and versions.
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Write required security plan.
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Work with security to connect the server to Snowflake and other data sources.
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Provision server access to data scientists, including R Studio Server, sftp, and command line.
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Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny.
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Guide data scientists on how to use version control with GIT/Azure Devops.
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Resource must have at least three (3) years of experience in providing services as listed