data scientist

software engineer

lab technician

hr associate

hr head

sr scientist

Sealed Air

<div><p>Sealed Air designs and delivers packaging solutions that protect essential goods transported worldwide, preserve food, enable e-commerce and digital connectivity, and help create a global supply chain that is touchless, safer, less wasteful, and more resilient. We strive to foster a caring, high-performance growth culture that will deliver consistent, sustainable profitable growth and accelerate our performance &ndash; a culture where accountability is clear and aligned, and where we reward business outcomes and impact. That culture guides everything we do, including how we partner with our customers and suppliers, how we attract and retain top talent, and how we create and deliver value for our stakeholders. In 2024, Sealed Air generated $5.4 billion in revenue and had approximately 16,400 employees distributing products and services to 117 countries/territories around the world. To learn more, visit www.sealedair.com.</p><div><div><div><h2 class="jobSectionHeader"><b>
Position Purpose</b></h2></div><div><p>
Do you enjoy leading technology space, setting a strategic innovation vision, and working with others to deliver on innovation and solutions pipeline? Are you motivated by understanding complex technical problems and solving those problems to make the world a better place to live? Do you thrive on working across functions to improve a business's ability to deliver the highest quality solutions at the lowest possible cost? Do you enjoy working with customers to find sustainable, optimal solutions and deliver value across multiple opportunities?</p><p>
The individual is responsible for developing packaging cushioning foam technologies and products for Sealed Air.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2></div><div><ul><li>
Conducts hands-on work required for the advancement of developmental products from concept to commercialization.</li><li>
Applies known scientific principles to the needs of product development and experimental projects.</li><li>
Communicates progress on product development programs in informal and formal internal presentations to Research &amp; Development (R&amp;D) leadership team, Marketing, Engineering, Quality and Supply Chain Groups.</li><li>
Conducts literature searches on products and processes novel to Sealed Air and uses information gained to the benefit of active projects and existing Protective Packaging products.</li><li>
Understands supporting analytical and instrumental methods and applies information to aid in the product development process, or in the application of Protective Packaging products to customer products.</li><li>
Works with sales and account representatives and package design personnel as needed to address customer needs and requirements for Protective Packaging products.</li><li>
Work with R&amp;D and business leaders to identify key technology gaps and opportunities associated with business division innovation pipelines.</li><li>
Ensure the timely completion of product development projects with priorities established and agreed upon with R&amp;D leadership.</li><li>
Position will require travel in support of Sealed Air production facilities and at customer sites.</li><li>
Identify and assess new technologies, ability to drive business growth, and the resources required to fully develop and commercialize.</li><li>
Track and utilize knowledge of competitive activities and support creating technology roadmap.</li><li>
Stay at the forefront of technology to maintain competitiveness.</li><li>
Personal safety and the safety of others; maintain a safe and incident-free working environment</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2></div><div><p>
PhD in Organic Chemistry or Chemical Engineering or related discipline</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Major Skills</b></h2></div><div><ul><li>
At least 5 years of Research &amp; Development experience in formulation development.</li><li>
Effectively communicates verbally and in writing to affect decision making and keep the organization informed (English proficiency is a must); ability to author technical reports and to make presentations to various internal groups within Sealed Air.</li><li>
Able to work globally with appropriate sensitivities to cultures, businesses, etc.</li><li>
Business acumen and ability to collaborate effectively across functions, regions, and business divisions to drive results and ensure goal delivery.</li><li>
Able to make priority decisions and provide clear focus to work teams.</li><li>
Establishes clear priorities and is enthusiastic about delivering accurate and timely results that add value.</li><li>
Committed to lifelong learning and continuous improvement.</li></ul></div></div></div><p>
Requisition id: 52390</p><p>
Relocation: No</p><p>
Sealed Air is committed to attracting, selecting, and developing talent that reflects the diversity of the communities and customers we serve. We take pride in our selection process to identify, infuse, and grow talent to align with our culture, values, and norms. Sealed Air prioritizes talent development, fostering a culture of continuous growth and career progression. The company is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state and local laws.</p><ul><li>Please be cautious of fraudulent recruiting efforts using the Sealed Air name or logo. Sealed Air will never request private information during the application process, such as a Driver's License or Social Security Number. If you have any concerns about information received from SEE during the application process, please reach out to us directly at globalta@sealedair.com.</li></ul><p>
LINK1 MON1</p></div><p></p>

Sr. Scientist

Zelis Healthcare

<div><div>About Us</div><div>
Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts &ndash; driving real, measurable results for clients.</div><div></div><div>
Why We Do What We Do</div><div>
In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system.</div><div></div><div>
Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis&rsquo; award-winning culture.</div><div></div><div>
Position Overview</div>
Sr Data Scientist<div></div><div>
Job Description</div><div>
Zelis is looking for a Senior Data Scientist who will collaborate with our analytics and data engineering teams to collect, analyze, and derive insights from company, client, and publicly available data. The ideal candidate must have strong experience in data mining/data analysis/predictive modeling, using a variety of data tools, building, and implementing models, supervised and unsupervised learning, NLP, feature reduction, cluster analysis and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams.</div><div>
Essential Duties and Functions</div><ul><li><div>
Understand the business objective and directly participate in the delivery of data science solutions to solve business problems.</div></li><li><div>
Extract and analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models.</div></li><li><div>
Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights.</div></li><li><div>
Build, test, validate models through various relevant methodologies, error metrics and calibration techniques.</div></li><li><div>
Validate the post-production model performance and calculate the ROI</div></li><li><div>
Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc.</div></li><li><div>
Perform multiple tasks and deal with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, proactive and positive behavior and approach.</div></li><li><div>
Monitor the projects of Junior Data Scientists, and mentor and provide them guidance when needed.</div></li><li><div>
Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems.</div></li><li><div>
Communicate data science models&rsquo; complex results and the insights to the non-technical audiences.</div></li><li><div>
Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes.</div></li></ul><div></div><div>
Experience, Qualifications, Knowledge, and Skills</div><ul><li><div>
Advanced degree in data science, statistics, computer science, or equivalent with a background in statistics.</div></li><li><div>
Experience with healthcare and/or insurance data is a plus.</div></li><li><div>
Proficiency in SQL, Python/R, NLP and LLM</div></li><li><div>
5-8 years of relevant work experience including 5 years of experience in developing algorithms using data science technologies to evaluate data scenarios and future outcomes.</div></li><li><div>
Competent in machine learning principles and techniques.</div></li><li><div>
Experience with cloud-based data and AI solutions.</div></li><li><div>
Familiarity with collaboration environments (e.g. Jupyter notebooks,gitlab ,github etc)</div></li></ul><div></div><div>
Commitment to Diversity, Equity, Inclusion, and Belonging</div><div>
At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day.</div><div></div><div><br>
Equal Employment Opportunity</div><div>
Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</div><div></div><div><br>
Accessibility Support</div><div>
We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability and require reasonable accommodation with any part of the application and/or interview process, please email <div>talentacquisition@zelis.com</div>.</div></div>

Sr Data Scientist

Amgen

<div><div><div><p>ABOUT AMGEN</p></div><div><p>
Amgen harnesses the best of biology and technology to fight the world&rsquo;s toughest diseases, and make people&rsquo;s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what&rsquo;s known today.</p></div><p></p><div><p><br>
ABOUT THE ROLE</p></div><div><p>
Role Description:</p></div><div><p>
Amgen is seeking a <b>Sr. </b><b>Data Scientist</b><b> </b>to develop, design and deploy <b>AI enabled</b> <b>forecasting</b><b> models</b>. You will apply deep technical expertise&mdash;from data ingestion to model deployment &mdash;to scale forecasting models across R&amp;D, Manufacturing, and Commercial for critical needs</p></div><div><p>
You will manipulate large messy datasets, write high-quality code, and adapt complicated machine learning models to the problems at-hand. The Sr. Data Scientist should be well versed in moving models from development to production and have a good sense for tracking and updating model performance. Also, you will distill complicated technical work to understandable and actionable outputs for key stakeholders.</p></div><div><p>
Roles &amp; Responsibilities:</p></div><div><ul><li><p><b>
Integ</b><b>ral part of a</b><b> high performing team</b><b> </b>of data scientists and engineers looking to translate machine learning algorithms into effective solutions focused on forecasting</p></li></ul></div><div><ul><li><p><b>
Perform exploratory and targeted data analyses</b> using descriptive statistics and other methods to identify patterns and anomalies</p></li></ul></div><div><ul><li><p><b>
Develop or lead development of high-performance</b><b> forecasting</b><b> algorithms</b>, prototypes, predictive models, and proof of concepts using a cutting-edge technical stack</p></li></ul></div><div><ul><li><p><b>
Design and implement</b> analytics pipelines leveraging MLOps practices</p></li></ul></div><div><ul><li><p><b>
Collaborate with data engineers</b> on data quality assessment, data cleansing, and the development of operational data pipelines</p></li></ul></div><div><ul><li><p><b>
Further</b><b> build the team</b> by contributing ideas and standard methodologies, and keeping abreast of developments in industry and academia</p></li></ul></div></div><div><div><ul><li><p><b>
Communicate effectively</b> and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels</p></li></ul></div><div><ul><li><p><b>
Assuring compliance with regulatory, security, and privacy requirements</b> as it relates to data assets</p></li></ul></div><div><ul><li><p><b>
Share and discuss findings</b> with team members practicing SAFe Agile delivery model</p></li></ul></div><div><p>
Must-Have Skills:</p></div><div><ul><li><p>
Proven experience working on large-scale forecasting solutions that drive measurable business outcomes</p></li></ul></div><div><ul><li><p>
Advanced proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)</p></li></ul></div><div><ul><li><p>
Experience in analyzing time-series data for forecasting and trend analysis</p></li></ul></div><div><ul><li><p>
Experience in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value</p></li></ul></div><div><ul><li><p>
Experience with Generative AI models (e.g., GPT, DALL&middot;E, Stable Diffusion) and their applications across domains in forecasting</p></li></ul></div><div><ul><li><p>
Familiarity with the modern data stack: distributed computing tools (Spark, Hive, etc.), cloud computing environments, and source code control technologies (e.g. Git)</p></li></ul></div><div><ul><li><p>
Proficiency in state-of-the-art machine learning tools, such as deep learning frameworks, transformer models, NLP models, time series models and Bayesian models, with demonstrated and interpretable insight and impact</p></li></ul></div><div><ul><li><p>
Experience with Databricks platform for data analytics and MLOps</p></li></ul></div><div><ul><li><p>
Strong communication skills &ndash; capable of presenting complicated and nuanced work in a clear, concise, and understandable manner to a diverse audience</p></li></ul></div><div><p>
Nice-to-Have Skills:</p></div><div><ul><li><p>
Experience in Biotechnology or pharma industry is a big plus</p></li></ul></div><div><ul><li><p>
Master&rsquo;s degree in computer science and/or data science</p></li></ul></div><div><ul><li><p>
Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery</p></li></ul></div><div><p>
Education and Professional Certifications</p></div><p></p><div><ul><li><p>
Master&rsquo;s degree or Bachelor&rsquo;s degree in Computer Science, Business, Engineering, IT or related field</p></li><li><p>
8+ Years of relevant work experience</p></li><li><p>
Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus</p></li></ul></div></div><div><div><p>
Soft Skills:</p></div><div><ul><li><p>
Initiative to explore alternate technology and approaches to solving problems</p></li></ul></div><div><ul><li><p>
Skilled in breaking down problems, documenting problem statements, and estimating efforts</p></li></ul></div><div><ul><li><p>
Excellent analytical and troubleshooting skills</p></li></ul></div><div><ul><li><p>
Strong verbal and written communication skills</p></li></ul></div><div><ul><li><p>
Ability to work effectively with global, virtual teams</p></li></ul></div><div><ul><li><p>
High degree of initiative and self-motivation</p></li></ul></div><div><ul><li><p>
Ability to manage multiple priorities successfully</p></li></ul></div><div><ul><li><p>
Team-oriented, with a focus on achieving team goals</p></li></ul></div><div><ul><li><p>
Ability to learn quickly, be organized and detail oriented</p></li></ul></div><div><ul><li><p>
Strong presentation and public speaking skills</p></li></ul></div><p></p><div><p><br>
EQUAL OPPORTUNITY STATEMENT</p></div><div><p>
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.</p></div><div><p>
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.</p></div></div></div><p></p>

Sr Data Scientist - Forecasting

PayPal

<div><p><b>The Company</b></p><p>
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.</p><p><br>
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.</p><p><br>
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.</p><p><br>
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.</p>
<p>Job Description Summary: 1. We are the Bot Mitigation Strategy team at PayPal. We heavily rely on Device Intelligence, which is a critical part of PayPal&rsquo;s Risk Platform and in many ways considered the first line of defense against online fraudulent activity found in customer touchpoints such as sign-up, login, payments, and post-payment activities. In addition to its core capabilities of collecting signals from browsers and mobile apps and converting these signals into actionable insights to detect and prevent fraud, the Device Intelligence team is expanding its charter to be the first line of defense against automated attacks and in the process disrupt the economics of cybercrime. The team is part of PayPal&rsquo;s Global Fraud Prevention organization. 2. This role is open to support the expansion of Bot Mitigation solutions, and would be part of our global team. 3. The role requires some flexibility in work-hours and due to team&rsquo;s structure requires to accommodate online meetings up to two evenings per week.</p>
<p>Job Description:
</p><p><b>Essential Responsibilities:
</b></p><ul><li>Lead the development and implementation of advanced data science models.</li><li>
Collaborate with stakeholders to understand requirements.</li><li>
Drive best practices in data science.</li><li>
Ensure data quality and integrity in all processes.</li><li>
Mentor and guide junior data scientists.</li><li>
Stay updated with the latest trends in data science.</li></ul><p></p><p><b>
Expected Qualifications:</b></p><ul><li>
3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li></ul><p></p>
<p>Additional_Responsibilities_And_Preferred_Qualifications:
</p><p></p><ul><li><p><b>Your way to impact - </b>Decision scientists deeply understand PayPal&rsquo;s business objectives, as their impact on PayPal&rsquo;s top and bottom lines is immense. As a decision scientist, you will analyse large datasets and lead strategy development, with the aim of adapting PayPal&rsquo;s advanced proprietary risk controls to the ever-evolving fraud landscape.</p><p></p><p><b>
Your day to day</b></p><p><b>
In your role as a Decision Scientist, you will:</b></p><ul><li>Actively research high quality signals and design strategies that would leverage them to mitigate fraud</li><li>Collaborate with Engineering, Fraud Research and Risk</li><li>Track and measure performance against KPIs and goals to identify and mitigate fraud risk and enable growth</li><li>Develop and own data-driven risk decision strategies to support PayPal&rsquo;s risk and business goals</li><li>Utilize bottom-up, story based, innovative techniques to apply analytical know how onto PayPal&rsquo;s risk strategies</li><li>Plan, drive and execute projects from start to finish, with partners across the company, to develop cutting edge, scalable and safe solutions</li><li>Work with product and platform teams to develop cutting edge, scalable and safe products, to enhance the experience for our global customers</li><li>Grow ongoing communication with partners across the company and share updates with senior leaders effectively and while translating complex problems into simpler terms</li><li>Plan and measure experiments to analyse incremental value of new intelligence feeds, from internal teams or vendors.</li></ul></li></ul><p></p>
<p>PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.</p>
<p>For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.</p><p><b><br>
Our Benefits:</b></p><p>
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;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.</p><p>
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com<br>
</p><br>
<p><b>Who We Are:</b></p><p>
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx<br>
</p><br>
<p><b>Commitment to Diversity and Inclusion</b></p><p>
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.</p>
<p><b>Belonging at PayPal:</b></p><p>
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.</p><p><br>
Any general requests for consideration of your skills, please Join our Talent Community.</p><p><br>
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</p></div>

<div><p><b>The Company</b></p><p>
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.</p><p><br>
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.</p><p><br>
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.</p><p><br>
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.</p>
<p>Job Description Summary: This job will lead the development and implementation of advanced data science models and strategies. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.</p>
<p>Job Description:
</p><p><b>Essential Responsibilities:
</b></p><ul><li>Lead the development and implementation of advanced data science models.</li><li>
Collaborate with stakeholders to understand requirements.</li><li>
Drive best practices in data science.</li><li>
Ensure data quality and integrity in all processes.</li><li>
Mentor and guide junior data scientists.</li><li>
Stay updated with the latest trends in data science.</li></ul><p></p><p><b>
Expected Qualifications:</b></p><ul><li>
3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li></ul><p></p>
<p>PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.</p>
<p>For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.</p><p><b><br>
Our Benefits:</b></p><p>
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;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.</p><p>
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com<br>
</p><br>
<p><b>Who We Are:</b></p><p>
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx<br>
</p><br>
<p><b>Commitment to Diversity and Inclusion</b></p><p>
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.</p>
<p><b>Belonging at PayPal:</b></p><p>
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.</p><p><br>
Any general requests for consideration of your skills, please Join our Talent Community.</p><p><br>
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</p></div>

Varshney Infotech Pvt Ltd

<p><b>Gen AI Data Scientist</b></p><p><b>Location - Remote</b></p><p><b>Job Type - Contract (12 months)</b></p><p><b>Company - Varshney Infotech Pvt Ltd</b></p><p>We are looking for a Data Scientist/ Senior Data Scientist for our Advanced Analytics and Big Data</p><p>team. The scope of the team is to generate insights for data-driven decision in the domain of product</p><p>development using methods of systematical data analysis. The main task is to identify suitable</p><p>problem statements and develop sustainable solutions in an international and diverse environment.</p><p>Our methods are based on state of the art technology such as artificial intelligence, cloud computing</p><p>and agile software development in order to provide groundbreaking insights for vehicle development.</p><p>Responsibilities &amp;amp; Key Deliverables</p><p>Artificial Intelligence &amp;amp; Machine Learning</p><p>&#61623; Cognitive AI Applications &amp;amp; Chatbots</p><p>&#61623; Full stack development &amp;amp; product Management (Web, Mobile): Hardcore Full Stack Data</p><p>Scientist with end to end single-handed multi hat role to work on building an AI Conversation</p><p>Voice Chatbot, NLP, NLU, Multilingual, Speech Recognition, Text to Speech and Speech to</p><p>Text Conversion, Audio/Video analytics, Facial Recognition, Eye Tracking, ANN, CNN, RNN,</p><p>deep learning to solve the specific complex problem in Auto sector as single-handed doer or</p><p>in a small Data Science Team with full end to end ownership of delivery</p><p>&#61623; Machine Learning - Classification and prediction for intuitive results at scale. Strong</p><p>experience in Deep Learning Algorithms. Needs to have statistical, mathematical, predictive</p><p>modeling as well as business strategy skills to build the algorithms necessary to ask the right</p><p>questions and find the right answers.</p><p>Statistical Data Modelling, Big Data</p><p>&#61623; Recommend appropriate searching and indexing methods</p><p>&#61623; Use big data tools and platforms to access data and run models</p><p>&#61623; Big Data: Remove constraints on volume, variety and velocity of data</p><p>&#61623; Data Modelling: Identifying factors and relationships to make predictions for competitive</p><p>advantage</p><p>Data Management and Insight</p><p>&#61623; Data sourcing, integration, scaling and optimization. Ensure provenance and</p><p>&#61623; Clean data through statistical approaches, such as identifying outliers and transform data</p><p>into machine-readable formats</p><p>&#61623; Optimize performance of database queries/schema (basics such as adding indices etc.),</p><p>processing unstructured data (text, voice, image)</p><p>&#61623; Cleaning data, formatting data, Having the ability to query databases &amp;amp; perform statistical</p><p>analysis, build AI Data Modelling, validating the AI Model and deployment</p><p>Business Understanding and Project Management</p><p>&#61623; Use subject matter knowledge in the areas of business operations (HR, Manufacturing,</p><p>Supply Chain, Sales &amp;amp; Marketing etc.) in order to understanding business requirement</p><p>effectively. Manages projects effectively ensuring objectives, deadlines and budgets are met</p><p>by team members under own control.</p><p>Internal</p><p>General Experience</p><p>&#61623; 3 to 7 years of strong experience in applied AI ML &amp;amp; Deep Learning Data Science</p><p>&#61623; End to end single-handed hands-on full-stack Data Scientist / Sr. Data Scientist.</p><p>&#61623; Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-5 good Applied AI-</p><p>oriented Applied Research Projects &amp;amp; Industry Projects applications</p><p><b>Note - Candidates must have their own Laptop</b></p><p>Can share resume to <b>samiksha.kesharwani@varshneyinfotech.net or kesharwanisameeksha07@gmail.com</b></p><p>Job Types: Full-time, Contractual / Temporary, Freelance<br/>Contract length: 12 months</p><p>Pay: &#8377;150,000.00 - &#8377;250,000.00 per month</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Work Location: In person</p>

GEN AI Data Scientist

Accenture

<p><b>Skill required:</b> Delivery - Data Analytics<br>
<b>Designation:</b> I&amp;F Decision Sci Practitioner Sr Analyst<br>
<b>Qualifications:</b>BSc/MSc
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<b>Years of Experience:</b>5 to 8 years
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<b>About Accenture</b><br>
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song&mdash; all powered by the world&rsquo;s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
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<b>What would you do?</b> Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song&mdash; all powered by the world&rsquo;s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com A Data Scientist is a professional who analyzes and interprets complex data to help organizations make informed decisions. They use statistical methods, algorithms, and machine learning to extract insights, identify trends, and solve problems. Their work involves data collection, cleaning, modeling, and visualization. Analyze, inspect, clean, transform, and model data.<br>
<b>What are we looking for?</b> &bull; 1+ year of experience in Data Analytics &bull; Knowledge on Wealth/Wholesale Banking domain &bull; SQL (Structured Query Language)/ SAS code development (SAS Enterprise Guide) &bull; Snowflake &bull; Tableau/Power BI/Sigma &bull; Matillion &bull; Python &bull; Passion to learn and quickly upskill on Technologies and Good team player &bull; Self-learning capabilities &bull; Adaptable flexible and problem-solving skills &bull; Good communication, analytical and presentation skill
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<b>Roles and Responsibilities:</b> &bull; Designing BAU and Adhoc Reports/Dashboard using tools like SAS, Tableau, PowerBI, etc &bull; To take ownership of the reports and deliver BAU reports on high priority &bull; Automate and Document reports, dashboards, and data dictionaries &bull; Create data pipelines and schedule ETL workflows &bull; Stakeholder interaction and requirement gathering</p>
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BSc,MSc

I&F Decision Sci Practitioner Sr Analyst

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GEN AI Data Scientist

I&F Decision Sci Practitioner Sr Analyst