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Senior Data Scientist/Lead Data Scientist Job Opening In New Delhi – Now Hiring Tiger Analytics

Senior Data Scientist/Lead Data Scientist

    India Jobs Expertini Expertini India Jobs New Delhi Prb Senior Data Scientist/lead Data Scientist

Job description

Job Title: Senior / Lead Data Scientist Locations: Chennai | Hyderabad | Bangalore NP :Immediate to 15 Days Skills :Data Science, Model Development, Python

Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges.

We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale.

We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively.

Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.

Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ ), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others.

We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine

Curious about the role?

What your typical day would look like?

As a Senior Data Scientist, Your role will involve Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.

Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code.

Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.

Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.

Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.

Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.

Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.

Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models.

Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement.

What do we expect?

6-10 years of total DS and model development experience A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.

Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems Encourage collaboration with various stakeholders and take complete ownership of deliverables.

Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.

Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations Effective mentoring of a team with expertise in industry/domain/functional areas.

You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.

We are an equal opportunity employer.

Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note:

The designation will be commensurate with expertise and experience.

Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

Required Skill Profession

Prb


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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 Tiger Analytics 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

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The average salary range for a varies, but the pay scale is rated "Standard" in New Delhi. 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 Senior Data Scientist/Lead Data Scientist typically include Prb 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 Senior Data Scientist/Lead Data Scientist Job Success

Tiger Analytics interview tips for Senior Data Scientist/Lead Data Scientist

Here are some tips to help you prepare for and ace your Senior Data Scientist/Lead Data Scientist job interview:

Before the Interview:

Research: Learn about the Tiger Analytics'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.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Scientist/Lead Data Scientist interview at Tiger Analytics, 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 Tiger Analytics'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!

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