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- Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques
- Experience working with business understanding the requirement, creating the problem statement, and building scalable and dependable Analytical solutions
- Must have hands-on and strong experience in Python
- Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning
- Strong analytical & algorithm development skills
- Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining, etc
- Ability to collaborate across teams and strong interpersonal skills
Skills
- Sound theoretical knowledge in ML algorithm and their application
- Hands-on experience in statistical modeling tools such as R, Python, and SQL
- Hands-on experience in Machine learning/data science
- Strong knowledge of statistics
- Experience in advanced analytics / Statistical techniques – Regression, Decision trees, Ensemble machine learning algorithms, etc
- Experience in Natural Language Processing & Deep Learning techniques
- Pandas, NLTK, Scikit-learn, SpaCy, Tensorflow


Roles and Responsibilities
1) Understand client requirements and functionalities.
2) Write well-designed, testable, efficient code.
3) Responsible for solving complex technical issues.
4) Ensure quality projects are delivered within defined timelines.
5) Active involvement in client communication to understand functional requirements.
6) Maintain high standards of quality for code, documentation and other deliverables.
Required Skills
1) Good experience in Angular/React
2) Hand on Node.JS./Express JS
3) Database : MYSQL/MongoDB
4) Experience in Java Script, Typescript.
5)Good experience in HTML5, CSS3, JavaScript, Jquery
6) Experience working in an Agile environment.
7) Good communication skills.

Responsibilities
- Identify, analyze, and interpret trends or patterns in complex data sets to develop a thorough understanding of users, and acquisition channels.
- Run exploratory analysis uncover new areas of opportunity, generate hypotheses, and quickly assess the potential upside of a given opportunity.
- Help execute projects to drive insights that lead to growth.
- Work closely with marketing, design, product, support, and engineering to anticipate analytics needs and to quantify the impact of existing features, future product changes, and marketing campaigns.
- Work with data engineering to develop and implement new analytical tools and improve our underlying data infrastructure. Build tracking plans for new and existing products and work with engineering to ensure proper
- Analyze, forecast, and build custom reports to make key performance indicators and insights available to the entire company.
- Monitor, optimize, and report on marketing and growth metrics and split-test results. Make recommendations based on analytics and test findings.
- Drive optimization and data minded culture inside the company.
- Develop frameworks, models, tools, and processes to ensure that analytical insights can be incorporated into all key decision making.
- Effectively present and communicate analysis to the company to drive business decisions.
- Create a management dashboard including all important KPIs to be tracked on a company and department level
- Establish end to end campaign ROI tracking mechanism to attribute sales to specific google and Facebook campaigns
Skills and Experience
- Minimum 1-2 years of proven work experience in a data analyst role.
- Excellent analytical skills and problem-solving ability; the ability to answer unstructured business questions and work independently to drive projects to conclusion.
- Strong analytical skills with the capacity to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Experience extracting insights using advanced SQL or similar tool to work efficiently at scale. Advanced expertise with commonly used analytics tools including Google Analytics, studio and Excel.
- Strong knowledge of statistics, this includes experimental design for optimization, statistical significance, confidence intervals and predictive analytics techniques.
- Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast-paced environment.
- Active team player, excellent communication skills, positive attitude and good work ethic.


Blue9 Technologies 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.
If you’re also familiar with Agile methodologies, we’d like to meet you.
Responsibilities
- Work with development teams and product managers to ideate software solutions
- 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
Requirements
- Proven experience as a Full Stack Developer or similar role
- Experience developing desktop and mobile applications
- Familiarity with common stacks (.net & PHP)
- Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
- Knowledge of multiple back-end languages (e.g. C#, 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
- An analytical mind

Ideal Candidate Profile
- Strong grasp of computer science fundamentals and excellent problem-solving skills.
- Good understanding of software engineering practices, Data Structures & Algorithms.
- Solid programming skills in Java/Kotlin.
- Good communication skills.
- Strong sense of ownership and accountability.
- Experience in Reactive programming, Asynchronous programming and Unit Testing will be an added advantage.
- 3+ years of experience in product driven organization.
- A Bachelors or master’s degree in engineering from a reputed institute (preferably IITs, NITs, or other top engineering institutes)





