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Data Science Manager/ Sr Manager Job Opening In Bengaluru – Now Hiring Tredence Inc.


Job description

Job Description:

  • At least 8 + years of experience in AI/ML, including:
  • A minimum of 2 years leading generative AI applications , focusing on large language models (LLMs), diffusion models, or other advanced AI technologies.

  • 3+ years of experience in NLP-based applications such as ChatBots, Text Classification, Named Entity Recognition (NER), or other NLP-driven projects.

  • Experience with frameworks and tools for building agentic pipelines, such as LangGraph , LLamaIndex , Autogen , PromptFlow , and dspy .

  • Expertise in advanced prompt engineering techniques, including ReACT , Chain of Thought , and Tree of Thought prompting methodologies.

  • Proficiency in evaluating LLM-based applications using frameworks like RAGAS for retrieval-augmented generation and application scoring.

  • Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc.


Roles & Responsibilities:

  • Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities:
  • Connect with internal / external POC to understand the business requirements
  • Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis
  • Create project plan and sprints for milestones / deliverables
  • Spin VM, create and optimize clusters for Data Science workflows
  • Create data pipelines to ingest data effectively
  • Assure the quality of data with proactive checks and resolve the gaps
  • Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms
  • Research whether similar solutions have been already developed before building ML models
  • Create optimized data models to query relevant data efficiently
  • Run relevant ML / DL algorithms for business goal seek
  • Optimize and validate these ML / DL models to scale
  • Create light applications, simulators, and scenario builders to help business consume the end outputs
  • Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively
  • Integrate and operationalize the models in client ecosystem
  • Document project artifacts and log failures and exceptions.

  • Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedback

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Data Science Potential: Insight & Career Growth Guide


Real-time Data Science Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Science in Bengaluru, India, highlighting market share and opportunities for professionals in Data Science roles.

153459 Jobs in India
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Are You Looking for Data Science Manager/ Sr Manager Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Tredence Inc. adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Data Science Manager/ Sr Manager Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Data Science Manager/ Sr Manager typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Science Manager/ Sr Manager Job Success

Tredence Inc. interview tips for Data Science Manager/ Sr Manager

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

Before the Interview:

Research: Learn about the Tredence Inc.'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.

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

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Science Manager/ Sr Manager interview at Tredence Inc., 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 Tredence Inc.'s products or services and be prepared to discuss how you can contribute to their success.

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