Role Description As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies. - Assist in collecting, cleaning, and preprocessing data from various sources. - Perform exploratory data analysis to identify trends, patterns, and anomalies. - Develop and implement machine learning models and algorithms. - Create data visualizations and reports to communicate findings to stakeholders. - Collaborate with team members on data-driven projects and research. - Participate in meetings and contribute to discussions on project progress and strategy. - Work with large datasets to clean, preprocess, and analyze data. - Build and deploy statistical and machine learning models to generate actionable insights. - Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations. - Assist in the creation of data visualizations and dashboards for reporting insights. - Support the development and improvement of data pipelines and algorithms. - Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions. - Contribute to the documentation and presentation of results, findings, and recommendations. - Participate in team meetings, brainstorming sessions, and project discussions. Qualifications - Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. - Proficiency in programming languages such as Python, R, or SQL. - Strong foundation in statistics, probability, and data analysis techniques. Requirements - Any Graduate / PassOuts / Freshers can apply. Benefits - Internship Certificate - Letter of recommendation - Stipend Performance Based - Part time work from home (2-3 Hrs per day) - 5 days a week, Fully Flexible Shift

Title: Sr Data Scientist Location: Chicago United States Job Description: The Company 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. 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. 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. 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 - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Job Description: PayPal, Inc. seeks Sr Data Scientist in Chicago, IL Job Duties: Develop and implement credit risk strategies for various products, including PayPal and Venmo credit card programs. Ensure strategies are reviewed and approved within the approved governance committee structures. Develop and automate tracking functionality that monitors volume and strategy performance. Test new data sources to enhance credit risk decisions. Provide PayPal and Venmo Card program insights via monitoring and reporting leveraging internal/external data. Employ mathematical, statistical and data mining methods to make sound decisions that balance risk and reward, user experience and financial performance. Perform operational monitoring to ensure that the strategy executions align perfectly with intents. Conduct ongoing performance reviews with senior leadership team. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master's degree, or foreign equivalent, in Data Science, Business Analytics or a closely related field plus four years of experience in the job offered or a related occupation. Special Skill Requirements: 1. Credit risk management / analytics in consumer lending space (4 years) 2. Predictive analytics and segmentation in consumer lending credit risk area (classification models, regression models, and statistical analysis) (4 years) 3. Experimental design (A/B testing) in consumer lending credit risk area (3 years) 4. Machine learning (model development/deployment; optimization including parameter tuning, dimension reduction, feature selection, and model validation) in consumer lending credit risk area (4 years) 5. Profit & Loss (P&L) analytics in the consumer lending area (3 years) 6. Credit bureau analytics (4 years) 7. Python (pandas, numpy, and sklearn packages) (4 years) 8. SQL tools: Google Big Query and Teradata (4 years) 9. Data visualization / Business Intelligence tools (Tableau, Amplitude, and Q-monitor) (4 years) 10. Database management: Big data and cloud (Hadoop, Hive, Stampy, Teradata, and Google Big Query) (4 years) 11. Forecasting techniques/algorithms and automation with Python (4 years) Additional Responsibilities & Preferred Qualifications: EOE, including disability/vets. The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: Chicago, IL | $142,210.00-221,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. Must be legally authorized to work in the U.S. without sponsorship. Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. 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. Our Benefits: At PayPal, 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 comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Title: Senior Data Scientist - Growth Marketing Location: San Francisco, California; Seattle, Washington Job Description: Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do We're looking for a hands-on, execution-minded Lead Data Scientist to join Docusign's Marketing Measurement team. You will own the full range of data science and analytics work strategic analysis, experimentation, stakeholder insights while also building the modeled data layers, operational dashboards, analysis agents, and productized integrations that make measurement self-serve and scalable. In this high-impact position you will own the productization layer for marketing measurement, architecting data infrastructure that makes sophisticated methodology accessible at scale. You will independently drive complex cross-functional initiatives from definition through adoption. Over time you will extend these practices across the broader team, operating as an internal center of excellence for how we model, build, and ship data products. Our ideal candidate combines strong analytical foundations with a product mindset someone who thrives at the intersection of data modeling, data product design, and marketing measurement, with a bias for shipping working assets over polishing decks. This position is an individual contributor role reporting to the Director, Marketing Data Science. Responsibility - Serve as DRI for measurement product initiatives end-to-end scoping, building, shipping, driving adoption across Marketing and Sales - Architect and maintain the data modeling layer for marketing measurement clean, tested, documented models that the whole team builds on - Productize measurement outputs into dashboards, automated reports, and analysis agents that stakeholders use without analyst intervention - Push insights into end-user tools (CDPs, marketing platforms, CRM) so measurement drives action at the point of decision - Partner with the pod's technical lead on methodology; translate attribution and incrementality science into production-grade data assets - Define and enforce modeling standards (naming, testing, documentation) that scale across pods - Collaborate with Data Engineering on pipeline reliability, orchestration, and upstream data quality - Report regularly to executive stakeholders, surfacing measurement results with clear next steps Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. What you bring Basic - 8+ years of experience in analytics, data science, or marketing measurement - Experience pulling insight from raw data and shipping durable models and products - Experience with systems thinking, including how channels interact, where data flows break, and which upstream changes cascade downstream - Experience writing sophisticated SQL, including well-architected models and clearly documented transformations - Experience building structured data layers in Snowflake and dbt (or equivalent), including semantic/metrics definitions that keep reporting consistent across tools - Experience with marketing measurement concepts (attribution, incrementality, media mix) - Experience with advanced SQL and Python (or R); production experience with dbt, Airflow, or similar - Experience with a BI platform (Tableau, Looker, Hex, or equivalent) Preferred - Experience in B2B SaaS - Ability to ship early and iterate working assets over polished decks - Ability to see fragmented data sources as an opportunity to build something coherent the business relies on - Ability to exercise sharp judgment about what to measure and when "good enough" is the right call - Multi-touch attribution, media mix modeling, or incrementality testing at scale - CDPs (ActionIQ, Segment) and marketing platforms (Marketo, Salesforce) - Causal inference methods geo experiments, synthetic control, difference-in-differences - MS or PhD in a quantitative discipline (Statistics, Economics, Computer Science) Wage Transparency Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations: California: $146,400.00 - $235,375.00 base salary Washington, Maryland, New Jersey and New York (including NYC metro area): $140,100.00 - $206,775.00 base salary This role is also eligible for the following: - Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance. - Stock: This role is eligible to receive Restricted Stock Units (RSUs). Global benefits provide options for the following: - Paid Time Off: earned time off, as well as paid company holidays based on region - Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement - Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment - Retirement Plans: select retirement and pension programs with potential for employer contributions - Learning and Development: options for coaching, online courses and education reimbursements - Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live. Applicant and Candidate Privacy Notice States Not Eligible for Employment This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming. Equal Opportunity Employer It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category. EEO Know Your Rights poster #LI-Hybrid

• Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. • Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction. • Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency. • Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. • Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments. • Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders. • Solid grounding in statistical methods — time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems. • Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.