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Urgent! Senior Staff Data Scientist Position in Bengaluru - LinkedIn
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.
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.
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.
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.
+ 14+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
+ 14+ 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.
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Unlock Your Senior Staff Potential: Insight & Career Growth Guide
Real-time Senior Staff Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Staff in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 406906 jobs in India and 33814 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Senior Staff roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! LinkedIn is currently hiring and seeking a Senior Staff Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Staff Data Scientist Jobs Bengaluru.
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:The average salary range for a Senior Staff Data Scientist Jobs India 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.
Key qualifications for Senior Staff Data Scientist typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Senior Staff Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior 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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