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Staff Data Scientist Job Opening In Bengaluru – Now Hiring LinkedIn

Staff Data Scientist

    India Jobs Expertini Expertini › India › Jobs › Bengaluru › Other General › Staff Data Scientist

Job description

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce.

Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day.

Were also committed to providing transformational opportunities for our own employees by investing in their growth.

We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity and the evolving needs of our business.

The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

LinkedIn member data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives.

You will have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.

Data Scientists on our team partner with product managers, engineers, and others to form a cross-functional team driving LinkedIn membership growth and engagement.

We are looking for strong, enthusiastic data scientists to join our team in Bangalore, India focusing on International Products that create values for LinkedIn's global member base in over 200 countries.

About the team -

Join the LSS-Data Science team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-Data Science team is at the forefront of building the next generation of AI-centric Sales Navigator platform.

This platform enables tens of millions of companies to connect with their future customers, driving significant economic value.

You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design.

Together, we are creating immense economic value for our customers using the largest global professional economic graph.

Responsibilities:

+ We inform product strategy, influence the product roadmap, and guide product decisions by
+ Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.
+ Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
+ Designing and analyzing experiments to test new product ideas.
+ Developing models and data-driven solutions that add material lift to principal performance metrics.

Basic Qualifications:

+ BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.
+ 10+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
+ 10+ years of experience in a Unix/Linux environment for automating processes with shell scripting.

Preferred Qualifications:

+ Experience with Consumer Internet products.
+ Experience programming in Python, Java, or another programming language - Pig experience desired but not required.
+ Ability to translate business objectives into actionable analyses.
+ Ability to communicate findings clearly to both technical and non-technical audiences
+ Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in International markets, Search Engine Optimization (SEO)
+ Expertise in applied statistics, understanding of controlled experiments.
+ Cross-cultural background and experience

Suggested Skills:

+ Sql
+ Data visualization
+ Hive

**India Disability Policy**

LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities.

For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

**Global Data Privacy Notice for Job Candidates ​**

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.


Required Skill Profession

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Unlock Your Staff Data Potential: Insight & Career Growth Guide


Real-time Staff Data 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 Staff Data in Bengaluru, India, highlighting market share and opportunities for professionals in Staff Data roles.

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Are You Looking for Staff Data Scientist 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 LinkedIn 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 Staff Data Scientist 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.

What Are the Key Qualifications for Staff Data Scientist?

Key qualifications for Staff Data Scientist typically include Other General 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 Staff Data Scientist Job Success

LinkedIn interview tips for Staff Data Scientist

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

Before the Interview:

Research: Learn about the LinkedIn'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 Staff Data Scientist interview at LinkedIn, 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 LinkedIn'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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