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Position Overview

Are you excited about telling stories by analyzing and making sense of data? Are you interested in producing actionable insights from large datasets that can power business decisions? Do you want to create impact by building data products that power a digital enterprise?

Our team is looking for a driven individual that is both technically able and business-savvy. Someone that can discover meaningful patterns in large datasets. Someone that is not afraid of asking questions, challenging assumptions and dealing with complexity in trying to answer broad business questions.

This Data Scientist position will help Autodesk’s IT organization, Digital Enterprise Services (DES), uncover insights from experience and technology operations data. In this role, you will build sustainable data products that help management take business decisions on an ongoing basis. The position also requires collaboration with managers, engineers and planners to inform strategies that enable them to take high-quality decisions and provide better services.

The ideal candidate is someone who isn’t afraid of technical complexity and dedicatedly looks for ways to leverage the latest and greatest advancements in the field of data science to help DES deliver a world-class experience to Autodesk employees.

Responsibilities

• Perform analysis on large datasets and produce qualitative visualizations based on reporting requirements
• Develop analytical solutions and dashboards that integrate data from a wide variety of sources such as relational databases, AWS, data virtualization tools
• Understand technology operations data from many different sources in detail to create these models
• Optimize workflows and scripts on data lake for data cleaning, processing, and transformation
• Develop, prototype, and deploy machine learning models
• Extract and derive useful metrics and KPIs from raw data gathered from multiple data sources
• Collaborate with data engineers’ team to create, maintain, and enhance data ingestion pipelines which gather data from various systems or sources
• Partner closely with service managers and engineers to understand the underlying data and help them make business decisions through insights and data products

Minimum Qualifications

• Bachelors in Computer Science, Business Analytics, Data Science, Management of Information Systems, Engineering or other quantitative discipline
• Proficiency with data analysis using Python and experience with open source data science toolkits (Pandas, SciPy, SciKitLearn, NLTK)
• Familiarity with various statistical and machine learning techniques including classification, regression, dimension reduction, regularization, clustering and various multivariate methods
• Familiarity with relational data modeling and SQL
• Hands-on experience with modeling or hypothesis testing
• Readiness to learn and pick up new technologies such as AWS Sagemaker to build, train and deploy your models
• Excellent oral and visual communication skills
• Prior experience (2-3 years) working in a global, high technology company

Preferred Qualifications

• Adaptable and comfortable with complexity and uncertainty
• Be self-motivated, creative and collaborative
• Prior experience implementing and deploying data science models or data products in Production
• Experience working in an Agile/Scrum environment
• Experience working in an AWS environment and leveraging its offerings such as EC2, S3, Lambda, Glue, Athena, Sagemaker etc.

About Autodesk

With Autodesk software, you have the power to Make Anything. The future of making is here, bringing with radical changes in the way things are designed, made, and used. It’s disrupting every industry: architecture, engineering, and construction; manufacturing; and media and entertainment. With the right knowledge and tools, this disruption is your opportunity. Our software is used by everyonefrom design professionals, engineers and architects to digital scientists, students and hobbyists. We constantly explore new ways to integrate all dimensions of diversity across our employees, customers, partners, and communities. Our ultimate goal is to expand opportunities for anyone to imagine, design, and make a better world.

At Autodesk, we’re building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers .

Job Title

Data Scientist CG 50

Job Description

Minimum Requirements

Contact

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Who we are: At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. We’re a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We’re guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.

Job Description Summary: We are looking for a Senior Data Scientist to join PayPal’s Global Data Science team in Chennai Our team’s goal is to provide the best data science solutions to prevent fraud from entering our eco-system through onboarding and lifecycle management while optimizing the business outcomes and customer experience. These solutions affect PayPal’s entire population of users and transactions, and directly contribute to PayPal’s financial performance.

Job Description:

Primary Job Responsibilities

As a senior data scientist your responsibilities will include:

• Work with partners to translate business challenges into Data Science problems and analyze various kinds of data to conclude actionable insights
• Lead complex, multifunctional data science projects. Build large scale (all PayPal transaction or logins!) end-to-end data solutions in close collaboration with our engineering teams
• Mentor and grow junior data scientists

Requirements

• Advance degree (MS or PhD) in science or engineering field with 4+ years of relevant experience
• Proven track record of building and implementing machine learning solutions
• Code writing capability in any programming language (preferably Python, R, Java, Scala, etc.) and familiarity with relevant ML packages (preferably Tensorflow, Keras and Pytorch).
• Experience in deploying machine learning products in live production environment – an advantage
• Hadoop, Spark, SQL and big data experience – an advantage
• Team player, responsible, delivery-oriented
• Strong problem-solving and communication skills

For more than 20 years, PayPal has remained at the forefront of the digital payment revolution. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, our open digital payments platform gives PayPal’s 400 million active account holders the confidence to connect and transact in new and powerful ways. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying, or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

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.

The Company

Soroco is on a mission to discover how the world works to help teams be their best. To do this we are evangelizing and commercializing a new technology category called work Graph, which is a structured view of how teams get work done across people, process, technology, and documents.

The ‘work graph’ unifies disjoint categories like Process Mining, Task Mining, user training, BPM and RPA to provide a single source of truth. Teams can use the work graph to identify and resolve sources of friction at work, such as technology impediments, poor process design, opportunities for learning and collaboration, among others. Soroco’s work graph platform, Scout, enables a culture of continuous improvement and identifies benefits from applying a portfolio of change levers, delivering targeted change programs at scale.

Soroco has offices in Boston, London, and Bangalore with a roster of Fortune 500 customers across 30 countries. Our team has published 150+ papers and patents. Visit www.soroco.com to learn how we help teams discover their work graph.

The Role

The Data scientist will fuel the growth of the company by working with product managers, engineers, and analysts to develop AI-ML framework to enable value-added features in Scout.

Responsibilities include (but are not limited to):

• Work with large datasets and solve difficult analysis problems, applying advanced analytical methods.
• Conduct end-to-end analyses, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Develop comprehensive understanding of Scout data structures, algorithms and metrics, advocating for changes for product development.
• Use techniques from artificial intelligence/machine learning/deep learning to solve supervised and unsupervised learning problems.
• Build and prototype analysis pipelines iteratively to provide insights at scale.
• Support on product release testing for all analytics features by creating use cases, and test scenarios, and test execution

The Candidate

The ideal Data scientist will be able to solve complex unstructured problems using data-driven analysis and have a deep commitment to increase Soroco’s revenue.

Key Requirements and Qualifications:

• Post-Graduate degree in Computer Science/Mathematics is preferred
• 2+ years of industry experience in handling high volumes of structured and unstructured data, with a proven track record of leveraging data science practices to drive significant business impact.
• Working knowledge on Quantitative methods should span Deep Learning, statistical modelling, machine learning, optimization methods, econometrics, graph theories and NLP.
• Experience in R/Python/Pyspark programming and Statistical/Deep Learning modelling.
• Expertise in Coding, Algorithm & High-Performance computing
• Excellent written and oral communication skills, particularly the ability to synthesize complex issues/scenarios into easy-to-understand concepts.

About the job

NielsenIQ Advanced Analytics team develops and promotes a portfolio of global products. Leveraging NielsenIQ’s unparalleled data and global platforms, the Advanced Analytics team creates solutions to enable our clients to make better business decisions every day. We partner with Product Owners and Core Technology Teams to build scalable, always on, analytic products using relevant modeling/ML techniques.

We’re looking for a passionate and talented Sr Data Engineer to join our growing team. In this role, you’ll have the chance to be part of a global analytic team of data scientists and data engineers that are focused on designing and implementing analytic products in a Microsoft Azure environment using Python, Spark and cloud based technologies.

Responsibilities

• Design, develop and optimize data pipelines to support analytics productsusing AzureML, PySpark and other Python libraries.

• Work with data scientists to optimise and scale statistical analysis and model implementations.

• Collaborate with product owners, data scientists, and operations personnel to clarify requirements and objectives.

• Create and implement QC testing routines and production monitoring processes.

• Provide level 2 support for analytics products.

• Investigate and implement new software components and techniques as needed.

• Become familiar with NielsenIQ data assets

• Coach and mentor junior data engineers on the team

About you

You’ve worked with large datasets, complex schemas, and have an emphasis on automation. Ideally you are someone who has a strong interest in implementing data models and data pipelines to build scalable products.

Qualifications:

• Degree in computer science or related discipline and 5+ years of experience in big data processing.

• Working knowledge of Python, SQL, and ETL

• Solid knowledge of SQL databases and development experience, SQL performance monitoring and optimization techniques

• Familiarity with the Hadoop ecosystem

• A minimum of a year of professional Apache Spark data processing application design and development experience, PySpark preferred, but Java/Scala are also acceptable.

• Experience using Pandas, NumPy and Spark ML is desirable

• Experience using collaborative development tools such as Git

• Experience working in a unix/linux environment

• Experience in working on distributed or cloud computing platforms such as Microsoft Azure

• Experience with Airflow or equivalent orchestration tool is desirable

• Experience implementing machine learning (statistical modelling) models

• Working using agile methodology (Scrum) is desired

• Familiarity with Azure Storage (ADLS Gen2), Azure Databricks, MLFlow, Presto (Trino) and Snowflake is a plus

• Certifications are preferred: Data Engineering on Microsoft Azure, Databricks Certified Associate Developer

About NielsenIQ

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

Responsibilities

Organization: Advanta

Company: Siemens Technology and Services Private Limited

Experience Level: Mid-level Professional

Job Type: Full-time