Senior Data Scientist - NLP
New York City, United States - Remote
Tiger Analytics
An Advanced Analytics and AI consulting services company. Trusted Data sciences, Data engineering partner for Fortune 1000 firms.Simplify data. Explore moreTiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Key Responsibilities
- Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
- Experiment, evaluate, and create generative AI products for a variety of tasks, such as extracting data, summarizing documents, and other generative model applications.
- Use fine tuning and advanced knowledge retrieval methods to improve the performance of generative AI models on specific tasks
- Evaluate the performance of models and make necessary improvements
- Collaborate with other scientists, data engineers, machine learning operations engineers, prompt engineers, and product owners to develop generative AI products
- Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources.
- Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
- Stay connected with external sources of ideas through conferences and community engagements
Requirements
- Undergraduate degree in a quantitative field
- Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
- Experience with cloud computing platforms such as AWS
- Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
- Experience with Bedrock, JumpStart, HuggingFace
- Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
- Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
- Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)
- Experience with NLP or CV
- Experience developing models from inception to deployment
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Consulting Consulting firm Data Mining Deep Learning Generative AI Git HuggingFace LLaMA LSTM Machine Learning Market research NLP Python Research RNN Unsupervised Learning
Perks/benefits: Career development Conferences
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Business Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Docker-related jobs
- Open Airflow-related jobs