Analyst - Business Analytics

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

What will you do?

• Developing new user-facing features using React & Redux

• Build modular layouts, reusable code and libraries for future use

• Refactor, optimize and improve the existing code base for maintenance and scale

• Use test-driven development and acceptance tests to ensure feature quality

• Design and implementation of low-latency, high-availability, and performant applications

• Optimize application for maximum speed and scalability

• Work closely with back-end developers to make sure the user experience is implemented as it was conceived

Skills Required

• Strong proficiency in JavaScript, object model, DOM manipulation and event handlers, data structures, algorithms, JSX, and Babel

• Complete understanding of ReactJS and its main fundamentals like JSX, Virtual DOM, component lifecycle, etc.

In-depth understanding of redux

• Understanding of RESTful APIs, HTML/CSS, ES6 (variables and scoping, array methods), code versioning tools like GIT, and NPM

• Good understanding of Promises, Async/ Await and Callbacks

• Should have good knowledge of Socket

• Understanding the nature of asynchronous programming and its quirks and workarounds

• In-depth knowledge of object-oriented programming

• Understanding of JavaScript Development on the server side using NodeJS and Express would be a plus

• Knowledge of ES6 would be a plus

• Should have good hands-on experience on MongoDB, designing optimized database structures using MongoDB and writing optimized queries for better performance

• Work with business analysts to estimate and design effective, scalable and maintainable solutions that meet business initiatives and objectives
• Develop and unit test software that meets business requirements and technical design
• Troubleshoot pre- and post-production implementations
• Propose new ideas when there is strong business value and stay up to date on the latest technology trends and techniques

Critical Skills & Experiences:

• At least 5+ years of experience developing in Java technologies with equivalent experience in systems analysis, OO design, OO programming and debugging skills
• At least 5 years of experience in Java Spring Boot Framework development
• 2 years of experience in any Cloud platform, preferably AWS.
• At least 3 years of web services and relational database experience (preferably Mysql)
• At least a year of Elastic search experience
• Experience developing RESTful web services (preferably micro services)
• Experience with UNIX/Linux command line and shell scripting
• Experience working in cross-functional Agile/Scrum teams
• Any level of experience with JIRA or any other issue tracking technology
• Experience working directly with business stakeholders
• Experience with Java application profiling and profiling tools
• Exceptional written and verbal communication skills.
• Drive performance to accomplish team goals in a fast-paced environment
• Bachelor’s degree or the above equivalent skills and years of experience

Keywords:

Experience: +5 Years

Technical skills: Java, Spring boot and Node JS  

Skills Required :

• Experience in React Js, Node js, Express js, MYSQL, Python
• Experience in JavaScript, HTML5, CSS3 required.
• Experience with SQL-based database engine like MySQL, Postgre, etc.
• Experience with RESTful API integration
• Experience with Node JS
• Experience with Git, GitFlow and Agile Software Development
• Familiarity with other programming languages
• Interpersonal skills to effectively work with people internally as well as working effectively with suppliers and customers
• Ability to effectively present information in team meetings and design reviews, as needed
• Ability to communicate calmly in a well thought out response, verbal and written
• Must have strong problem-solving abilities

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks, and third-party libraries. You should also be a team player with a knack for visual design and utility.

• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software

• Proven experience as a Full Stack Developer or similar role
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. NodeJs, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• Degree in Computer Science, Statistics or relevant fiel