Data Science Manager
Trajector
AWSAzureCloudGoogle Cloud PlatformPythonSQL
Data Scientist II
Trajector
full-time
Posted on:
Location Type: Office
Location: 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Design, develop, and deploy scalable NLP systems to process, analyze, and extract information from medical and legal documents.
- Lead the exploration and application of cutting-edge NLP techniques, including transformers, large language models, information retrieval, recommendation, summarization, and personalization systems.
- Collaborate with cross-functional teams, including product managers, engineers, and domain experts, to define project goals, requirements, and deliverables.
- Drive end-to-end development of AI/ML solutions, including data preprocessing, model training, evaluation, deployment, and performance monitoring.
- Ensure solutions meet high standards of data security, privacy, and compliance.
- Stay abreast of emerging trends and technologies in NLP and machine learning and identify opportunities for their application in our systems.
- Contribute to the strategic direction of technology and product development within the organization.
- Contribute to the long-term AI/ML technical vision and roadmap.
Requirements
- Master’s or Ph.D. in Computer Science, Data Science, Statistics, Computational Linguistics, or a related field.
- 3 - 5 years of professional experience in data science, preferably with a focus on natural language processing.
- Ideal candidate will have 8-10 years of relevant experience in data science, machine learning, and NLP (mentioned in overview).
- Proven track record of solving business problems by delivering data science solutions at scale.
- Expert in building and deploying machine learning models, including deep learning techniques and model fine-tuning.
- Expert in data processing, feature engineering, analytics and visualization for structured and unstructured data.
- Proficiency in Python.
- Proficiency in SQL.
- Proficiency in using source control systems like Github.
- Proficiency in AI/ML/NLP frameworks such as Hugging Face, spaCy, scikit-learn, among others.
- Proficiency in developing prompts for generative AI including evaluation of output.
- Proven skills in translating complex data insights into clear, actionable business strategies.
- Background of mathematical fundamentals including statistics, probability, linear algebra and optimization methods.
- Experience in demonstrating the impact of data products using appropriate quantitative metrics.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML model deployment in production.
- Proven ability in contributing to complex projects and deliver results in a fast-paced environment.
- (Desired) Experience working with medical or legal documents, including familiarity with domain-specific regulations (e.g., HIPAA, GDPR).
- (Desired) Familiarity with OCR (Optical Character Recognition) technologies and integrating structured and unstructured data sources.
- (Desired) Background in reinforcement learning, unsupervised learning, outlier detection, or graph-based NLP techniques.
- (Desired) Familiarity with Python ML frameworks such as PyTorch or TensorFlow.
- (Desired) Experience with MLOps tools and philosophies.
- (Desired) Publications or contributions to open-source NLP projects.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
natural language processingmachine learningdeep learningdata processingfeature engineeringanalyticsvisualizationPythonSQLmodel fine-tuning
Soft skills
collaborationproblem-solvingcommunicationstrategic thinkingproject managementadaptabilityleadershipanalytical thinkingattention to detailtime management
