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Cloudsufi - Senior Data Scientist (7-10 yrs) Noida (Analytics & Data Science) | Scientist in S1

Cloudsufi India Private Limited

This listing was posted on hirist.

Cloudsufi - Senior Data Scientist (7-10 yrs) Noida (Analytics & Data Science)

Location:
Noida
Description:

About Us :CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services, and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.Our Values : We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community. Equal Opportunity StatementCLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/What we are looking for :We are seeking an experienced and innovative Senior Data Scientist to join our team. The ideal candidate will be responsible for leveraging advanced statistical and machine learning techniques to extract insights from complex datasets and develop predictive models to support business objectives.Roles & Responsibilities :- Partner with stakeholders to identify business challenges and translate them into actionable data science projects with a focus on AI and Generative AI applications.- Design and conduct advanced data analysis, leveraging AI techniques like deep learning and natural language processing, to extract meaningful insights from complex datasets.- Develop, train, and evaluate cutting-edge machine learning models, including Generative Adversarial - Networks (GANs) and transformers, for tasks like image/text generation, data augmentation, and creative content development.- Champion responsible AI practices, ensuring models are fair, and unbiased, and mitigate potential risks.- Collaborate with cross-functional teams (engineering, product, marketing) to integrate AI and Generative AI solutions seamlessly into our products and workflows.- Lead and mentor junior data scientists, fostering a culture of continuous learning and innovation.- Should have working experience on LLMs including prompt engineering, fine-tuning, and explainability- Woking knowledge in advance Retrieval Augmented Generation (RAG) and ability to apply on structured and unstructured data- Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.- Formulates and leads guided, multifaceted analytic studies against large volumes of data.- Interprets and analyzes data using exploratory mathematical and statistical techniques based on the scientific method.- Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employs programming to clean, massage, and organize the data.- Leads all data experiments tasked by the Data Science Team.- Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, - Data Integrators, Knowledge Managers, and Intel Analysts.- Working knowledge of MLOps and establishing the ML pipelines- Works closely with all business units and engineering teams to develop strategy for long-term data platform architecture.- Working experience on production-grade Data Science problems and handling large amount of data- Evaluate ML and LLM performance using appropriate metrics and benchmarks.- Ensure compliance with data privacy regulations and ethical AI practices, particularly in handling textual data.- Implement security measures to protect sensitive data.- Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions- Collaborate with cross-functional teams to understand business challenges and objectives, translating complex data into actionable insights.- Coordinate with different functional teams to implement models and monitor outcomes.- Experience in PyMuPDF, Camelot, SpaCy, NLTK, TextBlob, PyTorch, email parser, pdf parser, Scikit-learn, XGBoost, LightGBM, Keras- Experience in PostgreSQL, MySQL- Experience in Linux, shell programming and MLflow- Experience in Data Quality tools like GX- Experience in Docker and Git- Experience in OCR techniques including Tesseract, PytesseractQualifications / Skills Required :- Bachelor Degree / Master's degree in Data Science- 8 to 9 years of professional experience as Data Scientist- Minimum 6-7 years of experience with hands-on data science, NLP, computer vision, and/or machine learning projects/products in industry.- Deep knowledge of model development- Demonstrated experience applying data science methods to real-world data problems- Decent understanding of downstream business and supply chain.- Must have excellent communication and interpersonal skills and work effectively in cross-functional teams.- Conducting big data analysis, Data conditioning, Developing algorithms and Executing predictive analytics- Able to bring ideas from conceptualization to productionalization (putting models in production) using the right tools (e.g. mlflow, kubeflow, tensorlight, etc).- Experienced in Information Retrieval (Content Recommendation, Search Metrics, search query, document classification, entity recognition, topic modeling, etc).- Proficiency in using the LLMs- Proficient with one or more programming languages (Java, C++, Python, R, etc.)- Demonstrated experience applying data science methods to real-world data problems- Experience utilizing visualization tools to take advantage of the growing volume of available information- Having very strong expertise in data collection, cleaning, preprocessing, and wrangling is a requirement.- Proficiency in visualization tools and packages; and in communicating data science topics to non-technical audiences is a requirement. (ref:hirist.tech)
Education/experience:
5 To 7 Years
Company:
Cloudsufi India
Posted:
June 18 on hirist
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