Data Scientist

Role overview

As a Data Analyst, you should be able to propose creative solutions to develop/solve a business problem. Should be able to recommend design and develop state-of-the-art data-driven analysis using statistical; understating of advanced analytics methodologies to solve business problems & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.

Roles and Responsibilities: -

• Identify opportunities and partner with key stakeholders to set priorities, manage expectations, facilitate change required to activate insights, and measure the impact
• Deconstruct problems and goals to form a clear picture for hypothesis generation and use best practices around decision science approaches and technology to solve business challenges
• Can guide team to Integrate custom analytical solutions (e.g., predictive modeling, segmentation, issue tree frameworks) to support data-driven decision-making
• Monitors and manages project baseline to ensure activities are occurring as planned - scope, budget and schedule – manages variances
• Anticipates problems before they occur; defines the problem or risk; identifies possible causes; works with team to identify solutions; selects and implements most appropriate solution
• Identifies potential points of contention for missed deliverables; creates and implements strategy to mitigate shortfalls in timeline and budget
• Develop and manage plans to address project strengths, weaknesses, opportunities and threats
• Translate and communicate results, recommendations, and opportunities to improve data solutions to internal and external leadership with easily consumable reports and presentations.
• Expected to act independently to deliver projects to schedule, budget and scope; support provided as required and requested, and is self-driven and motivated
• Able to manage multiple clients, lead technical client calls and act as a bridge between product teams and client

Experience Required:

• 9 plus years experience.  
• Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients
• Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, strategic revenue management, marketing effectiveness
• Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions.
• Must have the ability to adapt to changing business priorities in a fast-paced business environment
• Should have the ability to handle structured /unstructured data and have prior experience in loading, validating, and cleaning various types of data
• Should have a very good understanding of data structures and algorithms
• This is a Remote (work from home) position.
• Experience leading and working independently on projects in a fast-paced environment
• Management skills to manage more than one large, complex projects simultaneously
• Strong communication and interpersonal skills (includes negotiation)
• Excellent written and verbal communication skills

Must have technical skills: -

• IT background with experience across the systems development life cycle with experience in all project phases – plan, initiate, elaborate, design, build, test, implement.
• Working knowledge of market-leading data analytics tools such as - Spotfire, Tableau, PowerBI, SAP HANA is desired
• Domain experience of retails/Ecom is plus
• Well versed with advance SQL/Excel
• Good with any scripting language/data extraction in Python/R etc.
• Working knowledge of project management methodology, tools and templates (includes program/project planning, schedule development, scope management and cost management)

We are looking for a talented Frontend Developer to create modern, responsive, and interactive web applications using the latest technologies.

Key Responsibilities:

• Develop user interfaces with React.js, Redux, JavaScript (ES6+), HTML5, CSS3, and Tailwind CSS.
• Optimize applications for speed, scalability, and cross-browser compatibility.
• Integrate REST APIs and ensure seamless UI/UX.
• Manage deployments using Vercel and Netlify.
• Collaborate with backend teams and use Git/GitHub for version control.

Required Skills:

• React.js, Redux, JavaScript (ES6+)
• HTML5, CSS3, Tailwind CSS
• REST API integration
• Git, GitHub, Vercel, Netlify

Qualifications:

• Bachelor’s degree in Computer Science or related field.
• Strong portfolio or GitHub profile preferred.

Job Purpose

Responsible for managing end-to-end database operations, ensuring data accuracy, integrity, and security across systems. The position plays a key role in driving data reliability, availability, and compliance with operational standards.

Key Responsibilities:

• Collate audit reports from the QA team and structure data in accordance with Standard Operating Procedures (SOP).
• Perform data transformation and validation for accuracy and consistency.
• Upload processed datasets into SQL Server using SSIS packages.
• Monitor and optimize database performance, identifying and resolving bottlenecks.
• Perform regular backups, restorations, and recovery checks to ensure data continuity.
• Manage user access and implement robust database security policies.
• Oversee database storage allocation and utilization.
• Conduct routine maintenance and support incident management, including root cause analysis and resolution.
• Design and implement scalable database solutions and architecture.
• Create and maintain stored procedures, views, and other database components.
• Optimize SQL queries for performance and scalability.
• Execute ETL processes and support seamless integration of multiple data sources.
• Maintain data integrity and quality through validation and cleansing routines.
• Collaborate with cross-functional teams on data solutions and project deliverables.

Educational Qualification: Any Graduate

Required Skills & Qualifications:

• Proven experience with SQL Server or similar relational database platforms.
• Strong expertise in SSIS, ETL processes, and data warehousing.
• Proficiency in SQL/T-SQL, including scripting, performance tuning, and query optimization.
• Experience in database security, user role management, and access control.
• Familiarity with backup/recovery strategies and database maintenance best practices.
• Strong analytical skills with experience working with large and complex datasets.
• Solid understanding of data modeling, normalization, and schema design.
• Knowledge of incident and change management processes.
• Excellent communication and collaboration skills.
• Experience with Python for data manipulation and automation is a strong plus.

Must have exp in Django. [ Mandatory]

• The ability to problem-solve and critically think.
• High level of knowledge of Python and the Django framework.
• Familiarity with event driven programming as well as the MVC.
• Good understanding of SQL databases.
• Good understanding of REST APIs.

• Hands-on experience in Python
• Proficient experience in the automation tool i.e Selenium.Experience in writing Selenium-based automation frameworks and scripts
• Strong understanding of QA processes (test case planning, feature ownership, automation reporting, and triage, bug reporting, regression & isolation)
• Experience in maintaining REST API based automation frameworks and scripts
• Experience with Selenium Webdriver, test framework development, and web application testing
• Proficiency in API Testing in the following programming languages: Java

• KSQL
• Data Engineering spectrum (Java/Spark)
• Spark Scala / Kafka Streaming
• Confluent Kafka components
• Basic understanding of Hadoop

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
• Test data mining models to select the most appropriate ones for use on a project
• Work in a POSIX/UNIX environment to run/deploy applications
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Coordinate with different functional teams to implement models and monitor outcomes.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Able to create algorithms to extract information from large data sets
• Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
• Knowledge of Machine Learning techniques and their respective pros and cons
• Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
• Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
• Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
• Hands-on experience on C#, Javascript, .Net
• Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
• Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
• Strong knowledge of computer science, algorithms, and design patterns
• Strong oral and written communication, and other soft skills critical to collaborating and engage with teams

Roles & Responsibilities:

• As one of the earliest employees, there will be a lot on your plate. All the time!
• You'll build new product features from start to finish: through conception, research, maintenance, and polish. Think features to improve our collaborative student learning platform, such as new collaborative learning activities for teaching coding and other subjects.
• You'll build improvements to performance, reliability, and product polish — for example, improving the efficiency and performance of our replicated state systems.
• You'll build and improve processes and internal tools with simplicity and productivity in mind — such as, a tool to sync updates between zoho, slack etc.

This might be for you if...

• You have knowledge of ReactJS and any backend technology along with that
• You have been professionally coding for at least 3 years
• You have worked in a startup and relish the chaos and pressure
• You've built and maintained quality user interfaces that have reached a large audience, ideally while the product is experiencing rapid growth.
• You can readily learn most technologies as you go. To you, technologies are about tools and tradeoffs, not an ideology.
• You care about the business implications of anything you build. You're not just going after cool stuff — you understand the balance between craft, speed, and the bottom line.