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consultant data science

big data engineer

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Software Engineer (T25), Product Knowledge
 
 
 
 
 Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!
 
 
 
 
 Who Are We?
 
 
 
 
 The Product Knowledge team is at the epicenter of eBay&rsquo;s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay&rsquo;s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!
 
 
 
 
 What Will You Do
 
 
 
 
 We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:
 
 
 
 <ul>
 <li>
 Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets
 </li>
 <li>
 Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items
 </li>
 <li>
 Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components
 </li>
 <li>
 Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality
 
 
 
 </li>
 </ul>
 
 If you love a good challenge, and are good at handling complexity - we&rsquo;d love to hear from you!
 
 
 
 
 eBay is an amazing company to work for. Being on the team, you can expect to benefit from:
 
 
 
 <ul>
 <li>
 A competitive salary - including stock grants and a yearly bonus
 </li>
 <li>
 A healthy work culture that promotes business impact and at the same time highly values your personal well-being
 </li>
 <li>
 Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world&rsquo;s population, and takes every opportunity to make this clearly apparent
 
 
 
 </li>
 </ul>
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure
 </li>
 <li>
 Optimize software performance to achieve the required throughput and / or latency
 </li>
 <li>
 Work with your manager, peers, and Product Managers to scope projects and features
 </li>
 <li>
 Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact
 </li>
 <li>
 Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution
 </li>
 <li>
 Take active part in knowledge sharing across the organization - both teaching and learning from others
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Passion and commitment for technical excellence
 </li>
 <li>
 B.Sc. or M.Sc. in Computer Science or an equivalent professional experience
 </li>
 <li>
 4+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines
 </li>
 <li>
 Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Design
 </li>
 <li>
 Experience in production-grade coding in Java, and Python/Scala
 </li>
 <li>
 Experience in designing and operating Big Data processing pipelines, such as: Hadoop and Spark
 </li>
 <li>
 Experience handling complexities in production software systems
 </li>
 <li>
 Excellent verbal and written communication and collaboration skills
 
 
 
 </li>
 </ul>
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our Accessibility Statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Software Engineer (T25)

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
 
 
 
 Job Description
 
 
 
 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.
 
 
 LinkedIn&rsquo;s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetisation efforts. With over 800 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career.
 
 
 We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions.
 </li>
 <li>
 Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products.
 </li>
 <li>
 Perform all of the necessary data transformations to serve products that empower data-driven decision making.
 </li>
 <li>
 Establish efficient design and programming patterns for engineers as well as for non-technical partners.
 </li>
 <li>
 Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale.
 </li>
 <li>
 Ensure best practices and standards in our data ecosystem are shared across teams.
 </li>
 <li>
 Understand the analytical objectives to make logical recommendations and drive informed actions.
 </li>
 <li>
 Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.
 </li>
 <li>
 Contribute to engineering innovations that fuel LinkedIn&rsquo;s vision and mission.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc
 </li>
 <li>
 8+ years of relevant industry or relevant academia experience working with large amounts of data
 </li>
 <li>
 Experience with SQL/Relational databases
 </li>
 <li>
 Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 BS and 10+ years of relevant work experience, MS and 9+ years of relevant work experience, or Ph.D.
 </li>
 <li>
 Experience in developing data pipelines using Spark and Hive.
 </li>
 <li>
 Experience with data modeling, ETL (Extraction, Transformation &amp; Load) concepts, and patterns
 
 
 
 </li>
 </ul>
 for efficient data governance.
 
 
 <ul>
 <li>
 Experience in either the front-end or back-end development of data-powered applications.
 </li>
 <li>
 Deep understanding of technical and functional designs for relational and MPP Databases,
 </li>
 <li>
 Reporting and Data Mining systems.
 </li>
 <li>
 Experience working in the product, sales, or marketing analytics domains.
 </li>
 <li>
 Experience in data visualisation and dashboard design including tools such as Tableau, R
 
 
 
 </li>
 </ul>
 visualisation packages, D3, and other JavaScript libraries, etc.
 
 
 <ul>
 <li>
 Published work in academic conferences or industry circles
 
 
 
 </li>
 </ul>
 Suggested Skills :
 
 
 Data Pipeline
 
 
 Data Engineering
 
 
 Data Manipulation
 
 
 You will Benefit from our Culture:
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 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.
 
 
</div>

Staff Software Engineer, Data Science

Walmart Global Tech India

<div>
 Position Summary...
 
 
 What you'll do...
 
 
 
 Job Description
 
 
 
 
 About Team:
 
 
 
 As part of the Replenishment &amp; Forecasting team at Walmart, you&rsquo;ll have the opportunity to work with some of the smartest engineers/architects/data scientist and will have the opportunity to solve one of the most critical problems for Walmart
 
 
 We are looking for passionate Data Engineers to join our team &amp; help us in building our next generation Replenishment &amp; Forecasting Platform for Walmart. We drive $200B+ inventory replenishments annually. Improved forecast will help drive down the inventory days of supply and reduce waste for perishable grocery &ndash; savings measured in billions of dollars &ndash; while improving our in stocks. Effectively predicting demand involves learning from past sales and modelling the effects price, promotions, store placements, local events, weather etc. Replenishment ensures we have the effective distribution of the demand to the final destinations (Stores, DCs, etc.)
 
 
 Doing this a Walmart scale &ndash; over 500 M store item combinations - makes it one of the largest and most challenging problems of its kind in the world while also being the most impactful. Talk to us if you are interested in taking up the challenge.
 
 
 
 What you'll do:
 
 
 
 <ul>
 <li>
 Write efficient and quality code that can work @ Walmart scale
 </li>
 <li>
 Learn various aspects around data elements and their relevance to business.
 </li>
 <li>
 End-to-end ownership of your business stories including development, deployment to QA and production.
 </li>
 <li>
 Be responsible to on-call support on a need basis.
 </li>
 <li>
 Adopt Walmart&rsquo;s quality standards and develop and recommend process standards and best practices across the retail industry
 </li>
 <li>
 Research, learn &amp; adapt new technologies to solve problems &amp; improve existing solutions
 </li>
 <li>
 Participate in events to build innovative solutions
 </li>
 <li>
 Adhere to company policies, procedures, mission, values, and standards of ethics and integrity.
 
 
 </li>
 </ul>
 
 What you'll bring:
 
 
 
 <ul>
 <li>
 B.E/B.Tech from a reputed institution.
 </li>
 <li>
 Minimum of 3 years of solid Java experience.
 </li>
 <li>
 Good understanding of Spring Framework.
 </li>
 <li>
 Good understanding in Big Data Ecosystem - Hadoop and Spark.
 </li>
 <li>
 Must have project experience with Spark.
 </li>
 <li>
 Ability to independently troubleshoot Spark jobs.
 </li>
 <li>
 Good understanding of distributed systems.
 </li>
 <li>
 Fast learner and quickly adapt to new technologies.
 </li>
 <li>
 Prefer individuals with high ownership and commitment.
 
 
 </li>
 </ul>
 
 About Walmart Global Tech
 
 
 
 Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That&rsquo;s what we do at Walmart Global Tech. We&rsquo;re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world&rsquo;s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
 
 
 We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
 
 
 
 Flexible, hybrid work
 
 
 
 Walmart&rsquo;s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.
 
 
 
 Benefits
 
 
 
 Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, pto, health benefits, and much more.
 
 
 
 Belonging
 
 
 
 We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
 
 
 At Walmart, our vision is "everyone included." by fostering a workplace culture where everyone is&mdash;and feels&mdash;included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we&rsquo;re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
 
 
 
 Equal opportunity employer
 
 
 
 Walmart, inc., is an equal opportunities employer &ndash; by choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions &ndash; while being inclusive of all people.
 
 
 
 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years&rsquo; experience in software engineering or related area.
 
 
 Option 2: 4 years&rsquo; experience in software engineering or related area.
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 Master&rsquo;s degree in Computer Science, Information Technology, Engineering, Information Systems, Cybersecurity, or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.
 
 
 
 Primary Location...
 
 
 
 BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2305413
</div>

Software Engineer III

<div>
 
 
 About the Company
 
 
 
 We are looking for a Data Warehouse Developer with strong expertise in SQL and a deep understanding of Data Warehouse (DWH) concepts. The role involves designing, developing, and optimizing SQL queries for data extraction, transformation, and reporting within large-scale data warehouse environments. The ideal candidate will translate business needs into efficient SQL queries and data models to support analytics and decision-making.
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a Data Warehouse Developer with strong expertise in SQL and a deep understanding of Data Warehouse (DWH) concepts. The role involves designing, developing, and optimizing SQL queries for data extraction, transformation, and reporting within large-scale data warehouse environments. The ideal candidate will translate business needs into efficient SQL queries and data models to support analytics and decision-making.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop complex SQL queries for data extraction, transformation, and loading (ETL) processes within the data warehouse.
 </li>
 <li>
 Document SQL development standards and procedures.
 </li>
 <li>
 Design and optimize SQL scripts to improve data retrieval performance and data quality.
 </li>
 <li>
 Implement and maintain dimensional data models (star schema, snowflake schema) using SQL.
 </li>
 <li>
 Write stored procedures, functions, views, and triggers to automate data workflows.
 </li>
 <li>
 Collaborate with BI teams and business stakeholders to gather reporting requirements and translate them into SQL-based solutions.
 </li>
 <li>
 Optimize existing SQL queries and database objects for better performance.
 </li>
 <li>
 Work with large datasets to validate and ensure data accuracy and consistency.
 </li>
 <li>
 Perform data profiling and data cleansing using SQL to ensure high-quality data in the warehouse.
 </li>
 <li>
 Troubleshoot and debug SQL code related to data warehousing processes.
 </li>
 <li>
 Manage Slowly Changing Dimensions (SCD) to accurately track historical data changes over time.
 </li>
 <li>
 Ensure data quality and consistency by implementing validation rules and data cleansing procedures within the data warehouse.
 </li>
 <li>
 Develop and maintain metadata and documentation for data warehouse architecture, schemas, and ETL processes.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's/master's in engineering.
 </li>
 <li>
 3-5 years of experience.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong SQL skills: complex queries, joins, stored procedures, views, and performance tuning.
 </li>
 <li>
 Solid understanding of Data Warehouse concepts: fact/dimension tables, slowly changing dimensions (SCD), schema design.
 </li>
 <li>
 Experience with AWS data services, including but not limited to:
 </li>
 <li>
 Amazon Redshift (managed data warehouse)
 </li>
 <li>
 AWS Glue (ETL service)
 </li>
 <li>
 Amazon S3 (data lake/storage)
 </li>
 <li>
 AWS Lambda (serverless compute for ETL automation)
 </li>
 <li>
 Amazon RDS/Aurora (relational databases)
 </li>
 <li>
 Familiarity with cloud architecture and security best practices on AWS.
 </li>
 <li>
 Experience with ETL development and orchestration in AWS environments.
 </li>
 <li>
 Ability to optimize data workflows and SQL queries for performance and cost-efficiency on AWS.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Design and develop dimensional and normalized data models (star schema, snowflake schema) to efficiently support analytical queries.
 </li>
 <li>
 Understand the differences between OLTP and OLAP systems and design solutions tailored for analytical workloads.
 </li>
 <li>
 Collaborate with business analysts and data consumers to gather requirements and translate them into data warehouse design and reporting solutions.
 </li>
 <li>
 Apply data governance and security best practices to protect sensitive data within the warehouse.
 </li>
 <li>
 Use SQL extensively for data extraction, transformation, and analysis in the data warehouse.
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 We are committed to diversity and inclusivity.
 
</div>

Data Engineer

UsefulBI Corporation

<div>
 
 Job Title: Gen AI Developer
 
 
 Location: Bangalore / Lucknow
 
 
 Role Type: Full-time, Senior level
 
 
 Company&rsquo;s website: https://usefulbi.com
 
 
 LinkedIn link: UBI LinkedIn
 
 
 
 
 
 About UsefulBI:
 
 
 UsefulBI is a leading AI-driven data solutions provider specialising in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.
 
 
 
 
 
 Role Overview:
 
 
 We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you&rsquo;ll work across the entire data science lifecycle&mdash;from exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions.
 
 
 
 
 
 You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Develop and deploy applications using Large Language Models (LLMs) like GPT-4, Claude, LLaMA, and Gemini.
 
 
 &bull; Build GenAI-powered tools such as AI report generators, contextual chatbots, summarization engines, and semantic search applications.
 
 
 &bull; Design, optimize, and evaluate prompts tailored for various use cases and user personas.
 
 
 &bull; Implement and enhance Retrieval-Augmented Generation (RAG) workflows for improved relevance and accuracy.
 
 
 &bull; Fine-tune and customize foundation models using techniques like LoRA, PEFT, and prompt-tuning.
 
 
 &bull; Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs.
 
 
 &bull; Apply NLP techniques such as entity recognition, topic modeling, summarization, sentiment analysis, and question answering.
 
 
 &bull; Work with libraries and frameworks such as Hugging Face Transformers, Lang Chain, spaCy, and NLTK.
 
 
 &bull; Deploy GenAI applications using cloud platforms like AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI.
 
 
 &bull; Build scalable and secure inference pipelines integrated with backend systems and APIs.
 
 
 &bull; Use tools like MLflow and Docker for model lifecycle management and MLOps best practices.
 
 
 &bull; Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs.
 
 
 &bull; Continuously experiment with new GenAI models, tools, and research to keep the solutions cutting-edge.
 
 
 
 
 
 Required Skills and Qualifications:
 
 
 &bull; 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based applications.
 
 
 &bull; Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
 
 
 &bull; Experience in end-to-end ML lifecycle including model development, validation, and deployment. &bull; Solid understanding of statistics, probability, and data modeling.
 
 
 &bull; Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers).
 
 
 &bull; Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine-tuning.
 
 
 &bull; Experience with SQL and at least one NoSQL database.
 
 
 &bull; Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).
 
 
 &bull; Strong communication skills with the ability to explain complex models to non-technical audiences.
 
 
 
</div>

Data Scientist(Gen AI , Databricks)

GoTo Group

<div>
 
 
 What You Will Do
 
 
 
 
 <ul>
 <li>
 Translate business concerns into technical problems that can be addressed using data science and machine learning techniques.
 </li>
 <li>
 Collaborate with product managers, machine learning engineers, and business users to develop and deploy data science solutions.
 </li>
 <li>
 Prototype and deploy data science models, ensuring they are scalable and maintainable in a production environment.
 </li>
 <li>
 Partner with business teams to continuously improve systems to meet Gojek&rsquo;s evolving needs.
 </li>
 <li>
 Analyze large datasets to generate actionable insights.
 </li>
 <li>
 Design and conduct experiments to measure the impact of machine learning models and product features in the Marketplace Team
 
 
 </li>
 </ul>
 
 
 What You Will Need
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s Degree in Computer Science, Statistics, Operations Research, or a related quantitative field, with at least 1-2 years of relevant experience.
 </li>
 <li>
 Hands-on experience with statistics, machine learning fundamentals, and proficiency in Python, SQL, and basic visualization tools.
 </li>
 <li>
 Strong understanding of data science and machine learning fundamentals, with the ability to formulate solutions to business problems.
 </li>
 <li>
 Ability to write clear and concise technical documentation.
 </li>
 <li>
 Experience in taking data science models from development to production.
 </li>
 <li>
 Competence in conducting independent analysis, including data manipulation, hypothesis formulation, and statistical analysis of experiments.
 
 
 </li>
 </ul>
 
 
 About GoTo Group
 
 
 
 
 GoTo Group is the largest digital ecosystem in Indonesia with its mission to &ldquo;Empower Progress&rsquo; by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia&rsquo;s vast consumer household.
 
 
 
 
 About Gojek
 
 
 
 
 Gojek is Southeast Asia&rsquo;s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
 
 
 
 
 About GoTo Financial
 
 
 
 
 GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
 
 
 
 GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
 
 
 
 
 
 About GoTo Group
 
 
 
 
 GoTo Group is the largest digital ecosystem in Indonesia with its mission to &ldquo;Empower Progress&rsquo; by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia&rsquo;s vast consumer household.
 
 
 
 
 About GoTo Financial
 
 
 
 
 GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
 
 
 
 GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
 
 
 
</div>

Gojek - Data Scientist

Amazon

<div>
 
 Description
 
 
 
 Amazon is looking for exceptional, motivated software engineers to work in the Kindle Reader organization. As a Software Engineer you will take an exciting and challenging role on a team that is innovating on the Reading experience on Kindle mobile devices and services for millions of Amazon customers. You will work with world-class engineers, business leaders, and other talented engineering teams while you design, architect, and code for Kindle Reader iOS, Android app and E-Reader software. You will join a team that is developing a platform on which many other Amazon partner teams innovate their reader experiences. As a software engineer, you will think big and drive architecture decisions Kindle Library, cross OS development, app UX experience and service integrations to deliver awesome reader experience. We are looking for a passionate, hard-working, and talented software engineer who has experience building mission critical, high volume applications that customers love.
 
 
 By submitting your application here, you can apply once to be considered for multiple Software Engineer openings across various Amazon teams. If you are successful in passing through the initial application review and assessment, you will be asked to submit your career and personal preferences so that our dedicated recruiters can match you to the right role based on these preferences.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner
 
 
 
 About The Team
 
 
 
 As a engineer you will have opportunity to work with:
 
 
 <ul>
 <li>
 The foundational tech stack for syncing and storing structured annotations (i.e. text sticky notes, highlights, bookmarks).
 </li>
 <li>
 Sync CX features such as MRPR (most recent page read CX) and FPR (furthest page read).
 </li>
 <li>
 The core sync architecture driving our vision to be a federated, scalable, &ldquo;plug and play&rdquo; sync service for any Kindle and Books feature requiring sync.
 
 
 </li>
 </ul>
 Notetaking Sync: The effective back-end for handwritten notetaking (via Kindle Scribe), this team supports handwritten note sync and storage, data integrity, privacy/security for notetaking, and architectural improvements.
 
 
 
 Basic Qualifications
 
 
 
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 3+ years of non-internship professional software development experience
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 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
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 Experience programming with at least one software programming language
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
 </li>
 <li>
 Bachelor's degree in computer science or equivalent
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI MAA 15 SEZ
 
 
 Job ID: A3078184
</div>

Software Development Engineer

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