Junior Data Scientist

We are looking for enthusiastic female interns who are interested in gaining hands-on experience in market research and are comfortable speaking with customers over the phone. This role involves gathering market intelligence, conducting surveys, and engaging with potential customers to support our research and business development efforts.

Introduction

About Us:

Mercari is a Japan-based C2C marketplace company founded in 2013 with the mission to “Create value in a global marketplace where anyone can buy & sell.” From being the first tech unicorn from Japan before its IPO in 2018 we have come a long way towards becoming a global player and continuously and diligently work towards our transformation journey with a strong focus on our mission.

Since its inception, Mercari Group has worked to grow its services, investing in both our people and technology. Over time Mercari has expanded from being the top player in the C2C marketplace in Japan to new geographies like the U.S. We have also successfully launched new businesses such as Merpay, which is a mobile payment service platform with a vision to create a society where anyone can realize their dreams through a new ecosystem centered not only on payment service but also on credit. Today, Mercari Group is made up of multiple subsidiary businesses including logistics, B2C platform, blockchain, and sports team management.

For our services to be utilized by people worldwide; however, there is still a mountain of work ahead of us. This endeavor naturally requires the capability of the best talent and minds, and that is exactly the reason for us to launch the India Center of Excellence. With your help, we will continue to take on the world stage and strive to grow into a successful global tech company.

Our Culture:

To achieve our mission at Mercari, our organization and each of our employees share the same values and perspectives. Our individual guidelines for action are defined by our four values: Go Bold, All for One, Be a Pro and Move Fast. Our organization is also shaped by our four foundations: Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance. Regardless of how big Mercari gets, the culture will remain essential to achieving our mission and something we want to preserve throughout our organization. We invite you to read the Mercari Culture Doc which summarizes the behaviors and mindset shared by Mercari and its employees. We continue to build an environment where all of our members of diverse backgrounds are accepted and recognized, and where they can thrive while holding dear to Mercari’s culture.

Work Responsibilities

• Machine learning engineers working in the Recommendation domain develop the functions and services of the marketplace app Mercari through the development and maintenance of machine learning systems like Recommender systems while leveraging necessary infrastructure and companywide platform tools. 
• Mercari is actively applying advanced machine learning technology to provide a more convenient, safer, and more enjoyable marketplace. Machine learning engineers use the cloud and Kubernetes to operate and improve machine learning systems.

Bold Challenges

• We are looking for people who are interested in our services, mission, and values, and want to work where engineers can go bold, use the latest technology, make autonomous decisions, and take on challenges at a rapid pace.
• Develop and optimize machine learning algorithms and models to enhance recommendation system to improve discovery experience of users
• Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that improve user engagement
• Conduct data analysis and experimentation with large-scale data sets to identify patterns, trends, and insights that drive the refinement of recommendation algorithms
• Utilize machine learning frameworks and libraries to deploy scalable and efficient recommendation solutions.
• Monitor system performance and conduct A/B testing to evaluate the effectiveness of features.
• Continuously research and stay updated on advancements in AI/machine learning techniques and recommend innovative approaches to enhance recommendation capabilities.

Minimum Requirements:

• Over 5-9 years of professional experience in end-to-end development of large-scale ML systems in production
• Strong experience demonstrating development and delivery of end-to-end machine learning solutions starting from experimentation to deploying models, including backend engineering and MLOps, in large scale production systems.
• Experience using common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
• Deep understanding of machine learning and software engineering fundamentals
• Basic knowledge and skills related to monitoring system, logging, and common operations in production environment
• Communication skills to carry out projects in collaboration with multiple teams and stakeholders

Preferred skills:

• Experience developing Recommender systems utilizing large-scale data sets
• Basic knowledge of enterprise search systems and related stacks (e.g. ELK)
• Functional development and bug fixing skills necessary to improve system performance and reliability
• Experience with technology such as Docker and Kubernetes
• Experience with cloud platforms (AWS, GCP, Microsoft Azure, etc.)
• Microservice development and operation experience with Docker and Kubernetes
• Utilizing deep learning models/LLMs in production
• Experience in publications at top-tier peer-reviewed conferences or journals

Employment Status

Full-time

Office

Bangalore

Hybrid workstyle

• We believe in high performance and professionalism. We work from office for 2 days/week and work from home 3 days/week
• To build a strong & highly-engaged organization in India, we highly encourage everyone to work from our Bangalore office, especially during the initial office setup phase
• We will continue to review and update the policy to address future organizational needs

Work Hours

• Full flextime (no core time)

*Flexible to choose working hours other than team common meetings

Media

Owned Media

• Mercari Engineering Portal
• AI at Mercari portal
• Mercan - Introduces the people that make Mercari
• Mercari US Blog

Related Articles

• Development Platforms and Platformers: On Rising to the Global Standard Ken Wakasa, Mercari CTO | mercan
• “I'm Not a Talented Engineer” Insists the Member-Turned-Manager Revamping Our Internal CS Tool | mercan
• Personalize to globalize:How Mercari is reshaping their app, their company, and the world | mercan
• The Providers of the Safe and Secure Mercari Experience: The TnS Team, Introduced by Its Members! | mercan

Strong sales executive profile

Mandatory (Experience 1): Must have 7+ years of hands-on B2B sales experience, preferably selling SaaS products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory (Company): B2B SaaS Product companies

Role: MIS Analyst

Location: Hyderabad

Experience Required: 4 to 8 Years

Key Skills:

MIS Analyst with 4 Plus Years of Experience.

Strong Experience in Pivot Tables.

Strong Experience in PowerPoint Presentation

Good Experience in Data Validation, Vlookup

Excellent Communication

Company Overview:

Our client is a global leader in AI Assisted Conversational messaging solutions, transforming the way professionals and institutions engage with customers. With cutting-edge technologies like Conversational AI and Chatbots, they have amassed 5000 customers across SMBs and Mid-market sectors, integrating seamlessly with top CRMs like Salesforce, Zoho, and Hubspot.

Position Overview:

As a rapidly growing company, we are seeking a dynamic professional to join our leadership team as a Director, Business Intelligence. In this role, you will oversee the organization's Data and information systems operations, focusing on data, tools, and analytics supporting stakeholders across Product, Sales, Marketing, Operations, and Finance.

Key Responsibilities:

- Develop and implement data architecture and management strategies.

- Establish master data management (MDM) processes for a single source of truth.

- Lead system integration aligning data systems with business goals.

- Collaborate with senior management, defining KPIs and leading data initiatives.

- Identify data trends, patterns, and insights using visualization tools.

- Evaluate, select, and manage vendors for effective service delivery.

- Implement data governance practices, including quality assurance and lifecycle management.

- Build and manage a high-performing systems and information team.

Qualifications:

- Bachelor's degree in computer science, information systems, or related field.

- 10+ years of experience in systems management, preferably in SaaS/D2C industry.

- Proficiency in data analysis methods, tools, and best practices.

- Experience with Salesforce and Power BI is essential.

- Strong problem-solving and decision-making skills.

- Knowledge of industry best practices and emerging trends.

- Demonstrated ability to lead cross-functional teams.

- Excellent communication and interpersonal skills.

Benefits:

- Competitive Salary

- Performance-Based Incentives

- Bonus Compensation

- Comprehensive Insurance Coverage

- Shift Allowance

- Emphasis on Work-Life Balance

• Minimum 4 years’ experience developing Node.js applications on top of RESTful APIs.
• Experience building single page applications using JavaScript frameworks and libraries (React)
• Experience with cross-browser, cross-platform and design constraints on the web.
• Experience with test automation: TDD, unit/integration/functional testing.
• Solid understanding of object-oriented design and programming concepts.
• Have a passion for quality and writing clean, solid, readable code that scales and performs well.
• Proficient in Git and familiarity with continuous integration.
• A team player who values collaboration, innovation, and inclusion
• Comfortable working in an Agile environment
• Strong verbal and written communication skills

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

 REQUIREMENTS:

• Experience: 13-15 years
• Strong technical background with node.js, event loop understanding, unit testing, developing web application & APIs, event & stream, call-back & closures, promise, async/await, accessing file system, Optimization techniques
• understanding of different components such as web server, storages, integrations
• should have worked on designing and building server-side solutions (in any technology), build process of node.js, CI/CD process of node.js, multi-tasking (working on multiple things at same time)
• Good knowledge of functional and Object-Oriented Programming
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.
• Familiarity with Azure pipeline
• Should have experience in Identifying software application weaknesses and target areas and sketching out ideas for automated software test procedures. Reviewing software bug reports and highlighting problem areas.
• Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment.
• Fundamental knowledge of design patterns
• Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
• Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery.
• Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios.

  RESPONSIBILITIES:

• Writing and reviewing great quality code
• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs.
• Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

• Web-based portal development for end to end process management
• Work with the real-time feedback from users to make the product better
• Discover, design, develop, deploy, debug. Repeat! In highly agile environment.