A Senior Data Scientist designs and develops advanced analytical fashions to extract insights from big datasets. Senior Data Scientist collaborate with pass-useful teams to remedy complex troubles with the usage of statistical analysis, system mastering, and programming capabilities. Senior Data Scientists also talk findings successfully to stakeholders and manual junior group contributors in their work.
- Job Role: Senior Data Scientist
- Salary: Not Disclosed
- Location: Bengaluru, Karnataka
- Qualification: Master’s or Ph.D
- Company: Lenovo
About Company:
Lenovo is a global technology chief with a revenue of US$62 billion, ranked #217 in the Fortune Global 500. With 77,000 personnel international, Lenovo operates in 180 markets, imparting a complete variety of services and products, including PCs, smartphones, servers, and software solutions. The organization is dedicated to delivering a smarter era for all, specializing in innovation and accessibility. Lenovo’s transformation consists of expanding into ‘New IT’ technology like side computing and AI, aiming to build a greater inclusive, trustworthy, and smarter destiny. Through non-stop innovation and consumer-centric answers, Lenovo seeks to empower people and corporations internationally.
Role Overview: Senior Data Scientist
Join Lenovo in Bengaluru as a Senior Data Scientist, helping consumers enjoy enhancement for smartphones. Leverage your know-how in records analytics and machine mastering to create intuitive interactions through contextual data and superior algorithms. Senior Data Scientist Collaborate carefully to optimize language knowledge models and ensure statistics privateness, even as iterating to satisfy evolving consumer needs. With a Master’s or Ph.D. In Data Science or associated fields and five+ years of revel, you may play an essential role in shaping a smarter era for all. If you are prepared to innovate and make an effect, follow now and be part of Lenovo’s transformative adventure in the mobile era.
Responsibilities Of Lenovo Senior Data Scientist Job:
Data-Driven Insights: Derive actionable insights from consumer interactions and comments to power non-stop upgrades in consumer revel.
Contextual Understanding: Develop algorithms to interpret contextual information (region, time, person pastime) for applicable and timely assistance.
Prompting Enhancement: Improve prompting mechanisms and clever notifications for proactive user help.
Personalized Reasoning: Build and refine massive-scale datasets for training language understanding fashions, delivering personalized responses.
LLM Model Training: Collaborate with ML engineers to teach and optimize language information fashions.
Continuous Improvement: Establish comment loops to refine facts models and algorithms based on user needs.
Data Governance: Ensure statistics are nice, privacy, and compliance with rules.
Qualifications:
- Master’s or Ph.D. In Data Science, Computer Science, or associated subject.
- Minimum five years of revel in data analysis, gadget studying, and consumer enjoy optimization in the cell era.
- Proficiency in Python, R, or comparable programming languages.
- Strong expertise in NLP and enjoy education machine studying fashions for text analysis.
Excellent problem-fixing and analytical capabilities. - Effective communication and collaboration competencies.
Why Lenovo?
Lenovo offers the possibility to paint in a dynamic and innovative surrounding at the vanguard of cell technology. By becoming a member of Lenovo, you may contribute to developing intuitive and personalized cellphone reports at the same time as shaping the destiny of person interplay.
How to Apply: To apply for this position, please visit Lenovo’s career page for further details.
Skills Required For Senior Data Scientist:
Advanced-Data Analysis:
Ability to carry out complicated statistics evaluation with the use of statistical techniques and gadgets gaining knowledge of algorithms, interpreting consequences, and drawing actionable insights.
Expertise in Machine Learning:
Extensive understanding of diverse machine-gaining knowledge of techniques, such as supervised and unsupervised gaining knowledge of, deep learning, and herbal language processing.
Programming Skills: Proficiency in programming languages which includes Python, R, or SQL, with experience in facts manipulation, cleaning, and modeling.
Problem-Solving Skills: Ability to define enterprise troubles, formulate hypotheses, and design experiments to test them, using statistics-driven procedures.
Communication and Visualization: Strong communication abilities to present complex findings clearly and understandably to stakeholders, the usage of statistics visualization tools like Tableau or Matplotlib.
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