PayPal hires exciting Data Science job in Chennai 2024.

PayPal is hiring for a Data Science job in Chennai 2024. Both Freshers and Experienced candidates must apply for this position and Grab this opportunity.

Hello Data Folks, This is the great opportunity for all the individuals who have interest in Data Science domain, must start a job at PayPal for the position of Data Scientist in Chennai. If you are someone who is interested in this Job role must read there all responsibilities and requirements. And If you are someone who is looking for Data Science Jobs in India or some other opportunities in Data Sector, must Subscribe to our Web Notification or follow us on other social media handles.

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About Company

PayPal is a widely-used online payment platform that facilitates secure money transfers and payments over the internet. Founded in 1998 as Confinity, it later merged with X.com, an online financial services company founded by Elon Musk, and was rebranded as PayPal in 2000. PayPal allows users to link their accounts to their bank accounts, credit cards, or debit cards, enabling quick and secure transactions. It serves as a payment processor for online vendors, auction sites, and many other commercial users, charging a fee for its services.

PayPal was a subsidiary of eBay until 2015, when it became an independent company again. Today, it offers a range of services including credit and debit cards, credit card readers for businesses, and lines of credit. PayPal is known for its ease of use and security, making it a popular choice for both consumers and businesses worldwide.

About Job Role

The successful candidate will be responsible for providing data-driven insights including but not limited to the business casing, deep dives, and test readouts so that marketing can understand and improve campaign performance.

My team is paid media analytics, sitting under marketing analytics. On a high level, we help measure the impact of marketing campaigns on external ad platform with geo test. From the test, we will derive reporting proxies and implement those in paid media dashboard, used across all segments

Responsibilities

• Manage multiple analytical projects at a time, in a fast-paced, intense, and results-oriented environment.
• Influence stakeholders to make business decisions in alignment with global measurement approaches.
• Building and maintaining data pipelines and dashboards.
• Design and analyze geo tests.

Requirements

• Experience with building data pipelines with SQL.
• Experience with visualizations, dashboards, and reports.
• Extensive knowledge of AB testing and some exposure to causal inference methods such as difference in difference and synthetic control.

Benefits

• We’re committed to building an equitable and inclusive global economy.
• And we can’t do this without our most important asset—you.
• That’s why we offer benefits to help you thrive in every stage of life.
• We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
• Flexible work environment.
• Employee shares options.
• Health and life insurance.

Why Join PayPal?

• Joining PayPal offers you the chance to be part of a global leader in digital payments, impacting over 400 million users worldwide.
• For more than two decades, PayPal has been at the forefront of the digital payment revolution, continuously innovating to make transactions more accessible, secure, and personalized for both consumers and businesses.
• As a Data Scientist at PayPal, you’ll work on data-driven insights to power strategic decisions, particularly in fast-growing areas like marketing analytics and paid media. PayPal’s commitment to employee growth ensures you’ll engage in meaningful, high-impact projects that challenge and enhance your skills.
• The company’s supportive, inclusive culture emphasizes wellness, innovation, and collaboration, fostering a strong sense of belonging.
• PayPal’s core values—Inclusion, Innovation, Collaboration, and Wellness—guide its approach, providing a nurturing environment for learning, mentorship, and career growth.
• In addition to career-building opportunities, PayPal offers benefits such as flexible work arrangements, employee stock options, health and life insurance, and resources for financial, physical, and mental well-being.
• Joining PayPal means joining a purpose-driven team focused on building a more equitable and inclusive global economy, where your work not only advances the company’s mission but also creates a positive impact worldwide.

Career Growth and Opportunities

• At PayPal, the growth of your career is not only dynamic but also meaningful.
• Starting work as a Data Scientist opens doors to work at the world’s leading donors’ institutions using sophisticated analytical tools and data-driven techniques in forecasts.
• Because of PayPal’s emphasis on diversity as well as innovation, you will always be learning, experimenting and deploying modern practices such as A/B testing, causal inference, geo-marketing and the likes.
• The Marketing Analytics team whose activities you will be a part of is key to enhancing PayPal’s multibillion platform that serves approximately 400 million users and merchants in 200 countries. This role is more of a bridge enabling you to work with teams in marketing, product and technology and therefore enables understanding the commerce of the world from a wider perspective.
• On top of that, PayPal provides its people with the ability to expand their skills in fields such as data engineering, data analytics, and strategy which promotes the ability to get things done.
• In addition, PayPal provides a perfect hybrid model and offers extensive health benefits, therefore, making it easy to balancing the workload and career progression as desired.
• In addition, with PayPal’s foundation of focusing on learning, equity, and belonging, one will do well in providing an individual-centered approach that immerses its members effectively in mentorship and career advancement in the fast-paced fintech business.

Industry Impact of the Role

• In the capacity of a Data Scientist at PayPal, you are able to affect the financial technology sector in a great way, since you will contribute to the growth of an efficient and evidence-based decision-making system that underpins the global, safe payment system of the company.
• PayPal is a pioneer in digital payments, serving over 400 million consumers and merchants across 200 markets.
• Hence, through advanced analytics, A/B Testing and causal inference methods – you will have the chance to promote the marketing aspects of the business and the usage of its services, to alter the interaction between merchants and end users.
• The information and knowledge you produce will also improve the services of PayPal, but also will influence the development of innovations, which will improve the environment of digital payments, making payment services faster and better with new technology.
• This role puts you in an industry with a steep growth curve; your input will also remain relevant to business activities and the economy as a whole.

Learning and Development Opportunities

• At PayPal, learning as well as performance improvement is the backbone of driving creative energies and high performance.
• If you join as a Data Scientist, you will get to enjoy the latest data technologies and tools for advanced analytics because your skills will be in perpetual demand.
• The Company plays a huge role in promoting teamwork and inclusion as cross-functional activities are encouraged and one can interact with teams in marketing, engineering and product design.
• You will enhance your skills in techniques such as A/B testing and causal inference and data piping; and will also gain an appreciation of how PayPal’s operates and strategizes on a global level.
• The firm’s stern emphasis on managerial and functional development means a great deal in terms of expansion in the technical and management areas from the accomplished personnel.
• PayPal, as a company, has reinforced this belief and conviction in the form of very supportive internal training and career development programs, global networks and additional resources in career development as well as training for you to be all that you can be within the ever-changing data science world.

Application Tips and Common Mistakes

• Before applying to the job post, make sure that your resume serves its purpose by showcasing relevant skills including SQL, Dashboarding is crucial.
• Make sure that you should customize your resume before applying particular job role and also add the relevant skills mentioned in Job description without any failure.
• Finally, always remember that your resume fulfills the expectations of the job description and also showcase your project work very well in your resume.

Rishikesh Deshmukh

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