Data Scientist
Role details
Job location
Tech stack
Job description
You will leverage your expertise in statistical analysis and machine learning techniques to derive insights from data, address the organization's needs, and deliver tangible value through actionable outcomes.You Will:Collaborate within the AI Engineering Team to maintain robust data pipelines supporting various ML models, focusing on information retrieval applications.Analyze and clean large datasets to optimize reusable ML models.Partner with stakeholders across the company to translate business requirements into technical solutions.Utilize analytical skills for NLP modeling, algorithm selection, and POC development.Develop data enrichment pipelines to enhance insights aligned with strategic objectives.Collaborate with cross-functional teams to address the organization's data-driven needs, managing significant volumes of structured and unstructured data.Integrate diverse ML models into systems, ensuring interoperability and performance optimization.Lead efforts to optimize ML model
Requirements
performance through data analysis and validation in real-world applications.Stay updated on AI, ML, and NLP advancements, incorporating emerging trends into processes.You Have:Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field.At least 3 years of industrial experience in a data science or machine learning engineering role.Strong programming skills in Python and/or another high-level language commonly used in machine learning.Experience with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.). Demonstrated understanding of various techniques for extracting structured data from unstructured sources, indicating expertise in information retrieval.Familiarity with LLMs APIs for pre-processing, fine-tuning, and deploying models on cloud-based infrastructure.Familiarity with cloud-based infrastructure and services (e.g., AWS, GCP, etc.). Experience with version control systems such as Git.Our BenefitsComprehensive Healthcare PlansPaid Time OffRetirement PlansComprehensive Insurance PlansLifestyle programs & Wellness ResourcesEducation BenefitsFamily Care Benefits & Caregiving SupportCommuter Transit ProgramSubscription DiscountsEmployee Referral ProgramLearn more about all our US benefitsReasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/Disabled/Vets.