Staff Data Scientist

Required Qualifications:

• OOPS - In-depth understanding of Object Oriented Programming principles

• Solid - In-depth knowledge and practical knowledge of applying SOLID design principles

• Architectural Patterns - In-depth understanding of design patterns and have experience in designing and building complex architecture solutions

• React + Typescript - Extensive hands-on experience in React + Typescript, building high-performance complex frontends

• Unit testing - Ability to write Unit Testing using Jest framework

• Dotnet core webapi - Extensive hands-on experience in writing WebAPIs using dotnet core. Should have advanced knowledge on middlewares, auth flow, etc.

• C# - Solid knowledge on advanced C# language features like Lambda functions, Generics, etc.

• Entity Framework - Solid knowledge on Entity framework database first and code first approach

• Unit testing - Ability to write Unit Testing using popular mock frameworks and XUnit framework

• SQL - Advanced - Extensive hands-on experience in Microsoft SQL (DDL, DML, Aggregates, Functions, Stored proc, etc)

• Query Performance Tuning - Ability to understand query plans and tune compelx queries to improve performance

• Core services - Advanced knowledge and hands-on in building applications hosted in AWS using ECS containers, API Gateway, Lambda, Postgres/DynamoDb

• IAC - Hands-on experience in writing Teraform Scripting - CI/CD, Github pipelines

Hiring: Senior Java Full Stack Developer

Exp: 8-13 Years

Location: Bangalore-HAL Main Road [WFO 3 Days]

NP: Only Immediate Joiners

Mandatory Skills: Core Java, AWS, Microservices, ReactJS, Redux

Responsibilities

Core Java Expertise: Utilize your deep knowledge of Core Java to develop robust, high-performance server-side applications.

Spring Boot & Microservices: Design, develop, and maintain Microservices-based applications using Spring Boot, ensuring scalability, performance, and reliability.

Frontend Development: Develop responsive and interactive user interfaces using React.js and Redux, ensuring a seamless user experience.

About Digit88 

Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner! 

We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners. 

With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best. 

The Vision: To be the most trusted technology partner to innovative software product companies world-wide

The Opportunity: 

As the Data Science Lead, you will own and drive the company's data initiatives, managing a team of data scientists, and ensuring the

As a Data Scientist II, you will be part of the Product Risk Operations team that owns the development of AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.

As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders.  This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.

What You’ll Do

• Become a subject matter expert on products, including understanding how AI can be used in the utilities industry to enable our clients desired outcomes.
• Work closely with cross-functional teams to identify opportunities, design experiments and deploy repeatable and scalable machine learning solutions that drive business impact.
• Lead design of experiments and hypothesis tests related to machine learning product features development. 
• Lead design, implementation, and deployment of machine learning models to support existing as well as new customers.
• Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
• Monitor and analyze machine learning model performance and data accuracy.
• Mentor junior staff members.
• Stay current with best practices in data science, machine learning and AI.

Who You Are

• 3-5 years of experience building and deploying machine learning models
• Master’s or PHD in statistics, mathematics, computer science or another quantitative field
• Strong problem solving skills with emphasis on product development.
• Well versed in programming languages such as R or Python with experience using libraries such as pandas, scikit-learn, tensor flow .
• Experience with SQL and relational databases for data extraction and manipulation.
• Experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques 
• Passionate about being up-to-date with the latest developments in Machine Learning 
• Strong organizational, time management, and communication skills
• High degree of accountability
• Utility, Infrastructure or Energy related field experience is a plus

Benefits/Culture @ Digit88: 

• Comprehensive Insurance (Life, Health, Accident) 
• Flexible Work Model 
• Accelerated learning & non-linear growth 
• Flat organisation structure driven by ownership and accountability. 
• Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world. 
• Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies 
• Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, PLM and more. 

You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges. 

This is the right time to join us and partner in our growth!

Cashier

• Required: High School Diploma/BBA/B.Com or related

• Experience: 2-3 years

Location: Gandhinagar, Kudasan

• Design the architecture of our big data platform
• Perform and oversee tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries
• Design and implement data stores that support the scalable processing and storage of our high-frequency data
• Maintain our data pipeline
• Customize and oversee integration tools, warehouses, databases, and analytical systems
• Configure and provide availability for data-access tools used by all data scientists

Making things simple is the most challenging task and that’s what we love to do at Xpresslane. We are an ambitious start-up built by IITM, IIMB and BITS Pilani grads, backed by VCs and Angel investors. We are currently growing rapidly in the market with more than 100 D2C brands and more tech products in the pipeline.

Xpresslane allows online shoppers to complete their purchases within seconds. No passwords, no CAPTCHA, you won't need to fill in your details every time you buy online with Xpresslane checkout. By integrating our plugin, websites can provide one-click checkout to their users, enhancing the online shopping experience at an entirely new level.

We are looking for individuals comfortable in building things from scratch and interacting with founders/entrepreneurs. Exposure to SAAS/tech industries will be a plus.

Key Responsibilities:

• Own customer relationship end to end and maintain ongoing conversation with the clients for continuous feedback
• Establish processes for reducing integration timelines and increasing transparency
• Maintain an advisory role in helping customers get more value from Xpresslane products
• Upsell and cross-sell new product features/products from Xpresslane
• Collaborate with all departments in identifying right solution for customer concerns
• Track the customer conversion metrics
• Maintain high levels of customer satisfaction

Requirements

• 2-4 years of experience in communications, marketing, sales, account management, or customer success
• Bonus - experience working with eCommerce sector
• Excellent interpersonal and communication skills to work across functions in and outside the company
• Self-starter and multi-tasker