Inside Sales Executive

Responsibilities:

• Develop and maintain mobile applications using React Native.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and fix bugs and performance bottlenecks.
• Write clean, maintainable, and testable code.
• Integrate third-party APIs and libraries.
• Stay updated with the latest industry trends and technologies.

Required Skills:

• Proficiency in JavaScript and React.
• Experience with React Native and its ecosystem.
• Understanding of mobile app development (iOS and Android).
• Familiarity with RESTful APIs and integration.
• Knowledge of version control systems (e.g., Git).
• Problem-solving skills and attention to detail.

• Perform keyword research and include Google semantic keywords/LSI and write engaging, long form content
• Excellent grammar and writing skills
• Understand the target audience and write focused, SEO optimized content while following SEO best practices
• Ability to generate content for different content marketing platforms and
• maintaining tonality in accordance with the brand
• Collaborate with external stakeholders/agencies to get work done in a defined and structured way
• Developing SEO articles/landing pages via thorough industry and competitor research
• Design and developing SEO content for Social Media platforms and Youtube

• SEO content writing and management skills
• Excellent writing and grammar skills
• Working knowledge of Google Analytics, Keyword Planner, Search Console, SEMRush, Ahrefs, Moz etc.

• Detail-oriented, multitasker
• Organized and creative
• Passionate about learning new techniques and tools
• Excellent written and verbal communication skills
• Team player with a willingness to learn new skills

• Design, implement, and maintain API-based applications and REST services.
• Proficiency with Node JS.
• Must have experience in cloud services Azure Cloud/AWS.
• Familiarity with database technology such as MySQL, PostgreSQL, and MongoDB.
• Develop high-quality, efficient, and scalable code.
• Understanding of Agile methodologies and SCRUM framework Strong debugging, analytical and problem-solving skills.
• Provide technical support during implementation efforts, working with technical team members and with business users as required to provide troubleshooting and solutions to technical issues.

0 - 2  years of experience in business analysis and product development of mobile or web applications 
• Working with the stakeholders to formulate and define the Product Vision and Roadmap
• Developing requirements and use cases for business process flows
• Facilitating the definition of project scope, goals, and deliverables
• Managing the Product Backlog and its refinement
• Converting the requirements to Epics and user stories along with specifying the acceptance criteria
• Managing the prioritization of work in Product Backlog based on Product Roadmap
• Coordinating with cross-functional development team to impart requirement understanding including collaboration with the QA team on test cases
• Engaging with the stakeholders on project progress, required reports and value delivery

• Strong Python Coding skills and OOP skills
• Should have worked on Big Data product Architecture
• Should have worked with any one of the SQL-based databases like MySQL, PostgreSQL and any one of
• NoSQL-based databases such as Cassandra, Elasticsearch etc.
• Hands on experience on frameworks like Spark RDD, DataFrame, Dataset
• Experience on development of ETL for data product
• Candidate should have working knowledge on performance optimization, optimal resource utilization, Parallelism and tuning of spark jobs
• Working knowledge on file formats: CSV, JSON, XML, PARQUET, ORC, AVRO
• Good to have working knowledge with any one of the Analytical Databases like Druid, MongoDB, Apache Hive etc.
• Experience to handle real-time data feeds (good to have working knowledge on Apache Kafka or similar tool)

• Python and Scala (Optional), Spark / PySpark, Parallel programming

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred