Data Science (Zoom) interviews For Senior/Lead on 14th Dec-Sat @ GD

Hello,

Greetings from GlobalData!!!

Hope you are doing good.

Virtual(Online) interviews for Data Science - Senior/Lead on 14th Dec-Saturday.

Job Criteria :-

• Qualification: B.Tech/BE/MCA/M.Tech/B.Sc/M.Sc-(Computers)
• Experience Range : 4+ years
• Notice Period : Immediate joiners or with one month notice period
• Job Location : Hyderabad
• Work Mode : Hybrid
• Salary : best as per market standard's

Detailed job description given below please go through to understand requirement.

If requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com).

Mention Subject Line :-Applying for Sr/Lead - Data Science Virtual Interviews on 14th Dec @ GD-Hyd.

Share your details in mail :-

Your Full Name :

Mobile # :

Qualification :

Company Name :

Designation :

Total Work Experience Years :

Current CTC :

Expected CTC :

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Present Location :

If selected willing to move to Hyd : Yes/No

Please Note : For all shortlisted candidates, you will receive a call/mail from HR with time slots to attend virtual(Zoom) interview on 14th Dec-Saturday.

Job Description :- Senior Data Scientist

Objectives and Responsibilities of the Data Scientist:

• Work with cross-functional teams to understand business requirements and identify areas where data analysis can provide value.
• Collect and analyze large datasets, using statistical methods to identify trends and patterns in the data.
• Develop predictive models and algorithms to support business decision making.
• Communicate findings and insights to stakeholders, using data visualizations and other techniques to make complex data accessible to non-technical audiences.
• Collaborate with data engineers to develop data pipelines and ensure data quality.
• Continuously evaluate and improve the effectiveness of data models and analytical techniques.

Required Qualifications of the Data Scientist:

• Education - has to have a bachelors degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. An equivalent of the same in working experience is also acceptable for the position
• Experience 5yrs+ of working with in data science capacity within a fast-paced and complex business setting, will be preferred. The candidate must also have had substantial experience with data mining tools such as Python and hands on experience in machine learning, text classification, information extraction and other concepts of natural language processing. Having experience in data mining and analysis of digital media data/sources (social media etc.) will be of great advantage.
• Communication Skills will also be required to have good communication skills in his collaborative role and in the delivery of clear, engaging, and understandable reports. You must be capable of tailoring complex messages into simplified and business applicable material for key stakeholders and senior data science management.
• Interpersonal Skills - must have exceptional interpersonal skills that make him better suited for the position. He must be a result-oriented individual, be a self-motivated and proactive needing minimal supervision, be a strategic and creative thinker, have an ability to handle multiple simultaneous projects, be highly organized able to prioritize and meet tight deadlines, have a keen eye for detail, have an ability to work comfortably in group/collaborative setting, take accountability for business and team performance.

Job Description : Lead Data Scientist

Roles & Responsibilities :-

• Develop and Implement Cutting-Edge Generative AI Models:
• Spearhead the design and implementation of state-of-the-art generative AI models and algorithms using cutting-edge technologies such as PyTorch, Hugging Face, Spark, and LangChain.
• End-to-End Machine Learning Model Development:
• Lead the development lifecycle of machine learning models, ensuring a comprehensive approach from initial design through training, evaluation, validation, to seamless implementation.
• Application Development with Advanced Models:
• Design and develop applications that harness the power of Large Language Models (LLMs) and Feature Models (FMs), contributing to the creation of innovative and impactful solutions.
• Develop strategic predictive models and algorithms to provide robust support for crucial business decision-making processes.
• Collaborate closely with stakeholders to understand business requirements and translate them into effective and impactful machine learning solutions.
• Engage effectively with stakeholders, ensuring alignment between technical developments and business goals.
• Expertise in Model Optimization and Fine-Tuning:
• Bring hands-on experience in optimizing and fine-tuning large language models, focusing on enhancing performance metrics such as speed, latency, memory utilization, and throughput.
• Stay at the forefront of optimization techniques and implement them judiciously to ensure optimal model efficiency.

Experience :-

• Possess a minimum of 7+ years of hand

Thanks & Regrads,

Salim

(Human Resources)