Data Scientist

About Us:

We are a cutting-edge startup reshaping the construction management landscape with AI-driven solutions that simplify complex processes and maximise efficiency. Our platform leverages the latest web and mobile technologies to solve real-world challenges for the construction industry, blending innovation with usability. If you're passionate about building scalable systems and love solving problems, we want you on board!

Who You Are:

A tech enthusiast with a knack for both front-end finesse and back-end brilliance. You’re eager to dive into code and bring ideas to life. You think in Angular components, dream in Node.js APIs, and are equally comfortable navigating MongoDB queries as you are crafting mobile interfaces with React Native or Flutter. You thrive in a fast-paced startup environment and have a passion for building things from scratch, continuously optimising for performance, and ensuring scalability.

What You’ll Do:

• Full-stack Magic: Craft seamless, intuitive UIs with Angular and powerful, RESTful backend services using Node.js and MongoDB.
• Mobile Innovation: Build responsive mobile applications using React Native or Flutter—taking our platform to the field and making it accessible from any device.
• End-to-End Development: Own features from brainstorming to deployment—handling everything from database architecture to front-end performance.
• Optimise and Scale: Ensure that our platform is high-performing, scalable, and future-proof. You’ll be part of laying the groundwork for big, exciting growth.
• Collaborate & Conquer: Work closely with our design, product, and AI teams to integrate machine learning and automation features into our platform, pushing the boundaries of what tech can do in construction.

Tech Stack:

• Frontend: Angular for web, React Native for mobile
• Backend: Node.js, Express/Fastify
• Database: MongoDB
• Cloud & DevOps: AWS, Docker, CI/CD pipelines

What You Bring:

• Angular wizardry—you know your way around components, services, and everything in between.
• Node.js expertise—you can build robust, scalable APIs and thrive in an asynchronous environment.
• React Native/Flutter mobile skills—a passion for crafting intuitive mobile experiences.
• MongoDB knowledge—you understand database design, indexing, and aggregation pipelines.
• Code Quality Focus—whether it's writing tests or reviewing pull requests, you're all about clean, maintainable code.
• Experience with Git, CI/CD, and working in an agile, fast-paced team.

Bonus Points For:

• Experience in AI/ML integrations or a curiosity about machine learning’s potential in web and mobile apps.
• Familiarity with GraphQL and modern state management libraries.
• A solid understanding of the construction industry or experience building SaaS products.

Why Work With Us:

• Impact: Be part of a mission-driven startup solving real-world problems in a trillion-dollar industry.
• Innovation: Collaborate with a forward-thinking team to build AI-powered, scalable tools from the ground up.
• Growth: We’re a fast-growing startup, so your career can skyrocket here. Bring your ideas, and we’ll give you the space to make them happen.
• Culture: A collaborative, tech-driven, and fun work environment that values creativity, ownership, and growth.

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.

Technical Lead - .NET

Responsibilities:

• Develop and deliver technical systems
• Maintain adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc.
• Participate in the development and review of documents to comply with SDLC methodologies [e.g., Engineering Work Breakdown Structure (WBS), estimation, Solution Design Document (SDD) and Software Architecture Documents (SAD)]
• Provide support and documentation to assist in sustaining the project during the transition to production where necessary
• Adhere to Application Engineering methodologies, standards, code reviews
• Provide feedback regarding application engineering methodologies, standards, and leading practices when appropriate
• Identify potential points of contention for missed activities and notify project leadership of situation and remediation plan
• Minimize technical exposure and risk on projects
• Provide technical guidance to development team members
• Technical deliverables (i.e., code and documentation) on projects assigned
• Translate detailed Requirements and Design and Solution Architecture deliverables into detailed design specifications
• Maintain effective and consistent communication within the team, with peers, the leadership team, and the peers in other IT groups
• Proactively raise issues to Technical and Group Leads when necessary
• Produce high-quality application engineering deliverables in accordance with the project timeline
• Build and unit test a project to detailed design specifications
• Provide thought leadership and technical guidance to engineering staff
• Review of code completed
• Review performance of developers
• Proactively anticipate project issues before they occur; define the problem; identify possible causes; work with the team to identify solutions; select and implement the most appropriate solution
• Apply judgment in implementing Application Engineering methodologies, processes, and practices to specific requirements of projects/programs which may include product design engineering, information security, code maintainability and reliability

Requirements:

Must Have:

• Bachelor’s OR master’s degree in a technical field and/or equivalent work experience
• At least 3 years acting a senior architecture / technical lead role in a comparable organization
• Significant experience of deploying large, enterprise-wide implementations to significant user volumes
• At least 5 years of hands-on experience leading a team of developers - defining work breakdown structures/tasks, assigning the teamwork items, monitoring, and ensuring quality and adherence to standards etc.
• At least 8 years of relevant hands-on work experience building, integrating, and delivering enterprise-wide web and windows applications using Microsoft and other technologies for large organizations on complex projects
• 8+ years of ASP.Net MVC, ASP.Net experience
• 8+ years of experience of working with applications that have a SQL Server backend
• 5+ years of experience with Object-Relational Mappers such as Entity Framework, ADO.NET, Dapper
• Expert level knowledge of .NET Web API is required. .NET Core knowledge is preferred, but Web API experience with legacy .NET is ok
• 5+ years of experience with GIT
• 3+ years of experience of Azure Devops
• In-depth knowledge of object-oriented analysis and design (OOAD) principles, and familiarity with many design patterns for Software applications.
• Demonstrated expertise in application design and construction, work breakdown structure of items, design and code reviews, unit test and build activities, deployment and performance related activities, documentation, support, and training/mentoring
• Excellent communication skills, verbal and written

Nice to have:

• Ideally experience working with SSRS, SSIS
• Experience with MongoDB or another document database would be a plus
• Knowledge and experience with working on N-Tier applications.
• Demonstrated ability to build strong working relationships
• Experience working on projects following Agile methodologies would be ideal
• Experience working with Azure or other cloud providers would be ideal
• Ability to work within diverse, global, virtual teams.
• Proven ability to thrive under pressure
• Some experience with design and prototyping tools and diagramming is desired

What you need to have:

1. Work closely with our customers to understand their needs and build high-quality user interfaces.
2. Build, test and ship dashboards using frameworks like React, ES6, and Webpack.
3. Work with engineers and senior leadership to turn our vision into a tangible roadmap every quarter.
4. Add positive energy in every meeting or interaction with your coworkers.

Minimum Qualifications

1. B.E/B.Tech/M.Tech in CS/CE/IT
2. Must-have requirements for candidates include proficiency in the following areas/aspects:
3. Git version control system
4. Ability to collaborate and communicate complex technical concepts.
5. Experience working with charting libraries (i.e. ChartJS, Chartist, Grafana).
6. Experience with ReactJS 
7. Experience building highly scalable, high performance, responsive web applications
8. Experience in fundamental front end web technologies including but not limited to HTML, CSS, JavaScript - Minimum work experience 2 years

Languages/Frameworks

Javascript, React, HTML/CSS

Preferred Qualifications

1. Experience building, adopting and maintaining RESTful APIs.
2. A passion for all things UI and Front End
3. Ability to work in a fast-paced and agile development environment
4. Strong customer focus and obsession with quality
5. Experience working with UI for data-heavy products. 

Quickly adapt to our startup environment which is both demanding and fast-paced (but is also a lot of fun)

Eager in learning new concepts, technologies and be productive in a short time

Convert a raw idea into usable real-life software products

Good understanding and working knowledge of technologies worked

Demonstrate good problem-solving skills

Write modular, readable, and maintainable code

Own and be able to manage a small to medium-sized project

Demonstrate the ability to guide and coach a new team member or fresher.

• Minimum 7 years of Manual and automation experience.
• Experience of testing Application hosted over Cloud for various platform and OS.
• Web and Mobile testing expertise
• Experience on Agile and Scrum methodology

• To be responsible for effectively converting US into manual/Automation test cases for WEB and Mobile apps as per the coding standards.
• Expert in Database
• Help other team members on writing and reviewing test cases and provide sufficient help for any blocker.
• Certified as ready for release to Production follow all necessary test phases and meet the pre-agreed quality standards.
• Creates traceability records, from test cases back to requirements
• Work closely with Automation team members to understand automation progress and take ownership of analyzing any failures are there
• Provides regular quality reports on test progress, anomalies, risks and issues associated with project testing