Lead Data Scientist

Location: Bengaluru, Karnataka

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Job Description
Lead Data Scientist AI/ML for Artificial Intelligence Group, IT

Org Overview:
Intel IT Artificial Intelligence (AI) is the organization that builds AI solutions and platforms to solve high value business problems across the company. The organization is comprised of highly specialized AI research scientists, Machine Learning Engineers and AI Product Managers, spread across Israel, US, India and Costa Rica. We build and offer a wide range of AI based solutions to help solve Intel's most critical problems: Improve Intel's products power and performance, improve products' quality, Increase Intel's revenue through Sales operation optimizations; Improve our pricing and forecasting, improve manufacturing yield; and reduce products' operating costs. In addition, we offer self-service AI platforms to cater for the growing demand for AI across the company.
We offer a dream job to Data Scientists and Machine Learning Engineers. We solve high value business problems using massive datasets; We utilize diverse and exciting areas of practice: from classical Machine Learning, Deep Learning, NLP, Signal Processing, Reinforcement and Online Learning, and more; We use a variety of technologies spanning all best-in-class range (e.g.: Python, Spark, TensorFlow, PyTorch and more). Our large community of over 50 Data Scientists enables you to work and learn with great minds, participate in internal seminars and courses as well as in top professional conferences, thus ensuring you'll constantly grow your data science skills and knowledge.

Job Description:
We are seeking an outstanding Lead Data Scientist in AI/ML who will help our team continue to grow and bring high value to Intel. In this role you should demonstrate excellent problem formulation/definition skills in addition to technical skills. The ideal candidate should be:

� A professional role model with deep and wide expertise in state-of-the-art AI/ML techniques, a passion for solving challenging data science problems and extensive hands-on experience.
� Be detail-oriented and have an aptitude for solving unstructured problems. You should be excellent in coming up with different approaches to solve business problem using AI and evaluate the trade-off between them.
� Be self-directed, take charge of opportunities with business impact and drive them to completion.
� Have prior experience in guiding a team of data scientists, coaching and mentoring them.
� Have deep technical expertise in feature-engineering of massive datasets, effective exploratory data analysis, and model building using AI/ML techniques.
� Be a role model innovator by adapting new AI/ML modeling techniques and procedures.
� Have deep expertise in creation and management of datasets.
� Have excellent business and communication skills to be able to work with stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area.
� Have the ability to manage and execute an entire AI project from start to finish, including problem solving, data gathering and manipulation, predictive modeling, and project management skills.
� Be a role-model in storytelling with data and articulating the AI problems in an understandable manner to senior leadership of the Business Units.

You will be a part of the large global AI/ML Research Scientist community and will have access to state-of-the-art training, tools, and methods of the domain.


� Candidates need to hold at least a master's degree (or higher) in Computer Science/Machine Learning/AI/Data Science
� 8+ years of relevant experience in building AI/ML models and in using Python (Scikit-learn, TensorFlow/Pytorch) and SQL (or equivalent).
� Experience in using data analysis techniques and ML methods like classification, regression pattern finding, clustering, dimensionality reduction, anomaly detection etc.
� Experience with Hadoop, Spark is an advantage
� Deep Knowledge of classical AI algorithms and Deep Learning techniques is a must.
� Great analytical skills and demonstrated ability of independent and creative thinking.
� Highly motivated strong team player with the ability to work both independently and collaboratively within a team.
� Has strong analytical skills, including the abilities to scope out business problems to be solved, start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusions relevant to the business problem.
� Ability to present information professionally and concisely with supporting data.
� Previous experience as a data scientist in semi-conductor industry or data intensive organizations is a plus.
� Experience in creating powerful data driven visualizations to describe ML modeling results to stakeholders.

Inside this Business Group

Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.

Legal Disclaimer:

Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel’s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at www.jobs.intel.com and not fall prey to unscrupulous elements.

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