Urgent! Data Science Engineer Job Opportunity in Bengaluru, India – Now Hiring Publicis Global Delivery (PGD)

Job description

You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering state-of-the-art solutions for ML pipelining, deployment and integration with the back-end product.

Ensure efficient architecture and low-level design of deep learning-based solutions and high-quality deliverables with focus on innovation, scientific research, experimentation and optimal design.

As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving.

Development and implementation of ML models for product brand extraction based on product name, description and other attributes

Development and implementation of ML-based product matching solutions

Development of text-based product classification tools

Analyze big amount of data from online retailers using statistical techniques to identify patterns

Build ML, statistical and analytical models, forecasting models

Create ML DL solution and infrastructure

Responsible for statistical analysis and model research to develop an advanced analytical approach to generate the required insights

Design and implement efficient, fault-tolerant Machine Learning flows for processing high-velocity, heterogeneous data, including optimization of Machine Learning workflows for building automated decision systems that provide future predictions

Provide statistical analysis of large and complex datasets and ensure accuracy in analysis

Develop innovative and effective approaches to solve analytics problems

You will fit right in if you have –

8 years of relevant experience in the domain

Bachelor’s degree in Computer Science or equivalent

4+ years’ experience researching and developing ML models for big data analysis

Experience of deep learning in NLP (LSTM, BERT, etc.)

Proficiency with any deep learning framework, Tensorflow + Keras is preferred

3+ years’ experience and deep understanding of text processing techniques and best practices (classification, NER, text ranking)

Python (Pandas, NumPy, scipy, scikit-learn)

Textual data processing libraries (NLTK, GenSim)

2+ years’ experience of training and productionalization of deep learning models

3+ years’ experience of software development in Python

Excellent knowledge of the data science problems, including large scale data and data pipeline management

Excellent presentation skills, communication skills, verbal and written

Expert in using data analytical and modeling tools

Excellent knowledge in using visualization tools

Strong interpersonal skills and a combination of analytical skills, intellectual curiosity, and accountability

Required Skill Profession

Publicis Global Delivery (PGD) interview tips for Data Science Engineer

Here are some tips to help you prepare for and ace your Data Science Engineer job interview:

Before the Interview:

Research: Learn about the Publicis Global Delivery (PGD)'s mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Science Engineer interview at Publicis Global Delivery (PGD), research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Publicis Global Delivery (PGD)'s products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

Data Science Engineer

Job description

Company: Publicis Global Delivery (PGD)

Location: Bengaluru, Karnataka, India

Job Type: Full-time

Salary: Undisclosed

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