Investment Research Analyst

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

What does the core role include?

• Designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance
• Designing stateless components in React Native
• Contributing in all phases of the development lifecycle
• Working with the developers to create and maintain a robust framework to support the apps
• Working with the developers to build the interface with a focus on usability features
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What else can you expect in the role?

• Prepare and produce releases of software components
• Optimizing performance for the apps
• Problem-solving skills, analytical mind, and positive attitude
• Ability to think from end users perspective and focused on improving the overall product experience.
• Deliver across the entire app life cycle concept, design, build, deploy, test, release to app stores and support
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What can fetch you brownie points?

• Hands on experience with React Native is required
• Hands-on experience in React Native APIs, ReactJS, Javascript, ECMAScript (OOJS) and JSX.
• Strong understanding of JavaScript ecosystem
• Hands on experience on Android in creating Hybrid / Native applications
• Demonstrable UI/UX experience on a large-scale app.
• Thorough understanding of React Native development tools like IDEs (Nuclide, Atom, Sublime Text, or Visual
• Good knowledge of JS frameworks like ReactJS is a plus.

Desired Skills and Experience

Hybrid Apps,React Native, Native iOS and Android Architecture understanding

The organization is building a team of dynamic and influential thought leaders, representing diverse backgrounds and specific focus areas.  The Principal MDM Architect role requires experience with design, architecture, and implementation of MDM Platform.   Responsibilities include collaboratively developing and publishing reference architectures, analyzing systems and technologies and influencing the implementation MDM Strategy.  A person in this role will serve as an advisor and resident expert in building and applying MDM platform landscape as well as collaborate with Global Master Data Organization

• Establish and maintain a trusted advisor relationship within IT Team, Commercial Digital Solutions, Functions and Businesses you interact with
• Establish and maintain close working relationships with teams responsible for delivering solutions to the company businesses and functions
• Perform key management and thought leadership in the areas of advanced data techniques, including data modelling, data access, data integration, data visualization, big data solutions, text mining, data discovery, statistical methods, and database design
• Work with business partners to define ways to leverage data to develop platforms and solutions to drive business growth
• Engage collaboratively with project teams to support project objectives through the application of sound data architectural principles; support the project with knowledge of existing data assets and provide guidance on reusable data structures
• Share knowledge of external and internal data capabilities and trends, provide leadership, and facilitate the evaluation of vendors and products
• Utilize advanced data analysis, including statistical analysis and data mining techniques
• Collaborate with others to set an enterprise data vision with solid recommendations, and work to gain business and IT consensus

• 15+ years of experience partnering with business managers to develop technical strategies and architectures to support their objectives
• 10+ years of hands-on experience with - Master Data Management, Data Governance, Data Quality, Business Intelligence and/or Data Warehousing
• Demonstrable experience architecting MDM solutions from scratch or enhancing existing MDM solution for large-scale organizations
• Lead and manage master data management, data governance and/or data quality projects through all phases of the project lifecycle from planning, blueprint planning, requirements gathering, design, development, testing, and go live
• Recommend data governance processes, approaches, organizational models, and MDM technology platforms 
• Advice on leading practices for the implementation of data governance, data quality and master data management projects
• Architect MDM solutions and provide business, governance, and technical recommendations
• Influence technology direction at the divisional or enterprise level based on broad expertise across multiple software platforms and technologies
• Transfer knowledge and leading practices to the technical team(s)
• Excellent knowledge of ETL and ELT patterns and when to use either one; experience selecting among different tools that could be leveraged to accomplish this (Talend, Informatica, Azure Data Factory, SSIS, SAP Data Services)
• Design of real-time/batch integrations and review of code built by teams
• Experienced on Informatica MDM 10.x (10.3, 10.2, 10.0), 9.X along with Provisioning, IDD, HM, and Active VOS

• Master’s degree in Computer Science, MIS, related field, or equivalent experience
• Experience working with solutions delivery teams using Agile/Scrum ore similar methodologies
• 10+ years of experience designing solutions leveraging Informatica MDM suite
• Experience with enterprise systems, like CRM, ERP, Field Services Management, Supply Chain solutions, HR systems
• Ability to work independently, establishing strategic objectives, project plans, and milestones
• Exceptional written, verbal & presentation skills