Inside Sales

Strong Brand Marketing Manager profiles, with experience with well-known B2C brands

Mandatory (Experience 1): Must have total 6+ YOE, and recent 3+ years working in end-to-end Brand Marketing (including Brand building, positioning, & brand strategy)

Mandatory (Experience 2): Must have strong hands-on experience in Brand Marketing for a Top / well-known B2C or Fintech brands

Mandatory (Core Skills): Must possess creative thinking, strong project management skills, and be execution-focused; should have managed brand campaigns including creative development, production, social content, media planning, and buying..

Mandatory (Education): Candidates from Top-6 IIMs or ISB only

Mandatory (Company): Well-know B2C Brands in FMCG, Fintech, BFSI, Consumer Tech, or Lifestyle brands.

Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy

Job Summary:

Full-time 6+ Years We are looking for a Lead Data Scientist with the ability to lead a data science team and help us gain useful insight out of raw data. Lead Data Scientist responsibilities include managing the client, data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to talk to you. Responsibilities

● You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains.

● Define, develop, maintain and evolve data models, tools and capabilities.

● Communicate your findings to the appropriate teams through visualizations

● Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, GenAI and LLMs.

● Ability to build, train and lead a team of data scientists

. ● Follow/maintain an agile methodology for delivering on project milestones.

● Experience applying statistical ideas and methods to data sets to answer business problems.

● Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies.

● Working on ML Model Containerisation.

● Creating ML Model Inference Pipelines.

● Testing and Monitoring ML Models. Tech Stack

: ● Strong Python programming Knowledge- Data Science and Advanced Concepts like Abstract Class, Function Overloading + Overriding, Inheritance, Modular Programming and Reusability

● Working knowledge of Transformers, Hugging face etc.

. ● Working knowledge in implementing large language modes for enterprise applications.

● Cloud Experience in using Azure services,

● REST API using Flask or fastapi frameworks

● Good to have - Pyspark: Spark Dataframe Operations, SQL functions API, Parallel Execution

● Good to have - Unit testing using Python pytest or Unittest Preferred Qualifications:

● Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree.

● Minimum of 6 years of experience in a related position, as a senior data scientist building Predictive analytics, Computer Vision, NLP and GenAI solutions for various types of business problems.

● Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch, etc..

● Strong planning and project management skills, able to

responsibilities

• Troubleshooting on Desktops.

• Troubleshooting on Microsoft office 365, firewall and mail servers

. • Monitoring backups.

• Troubleshooting networks, virtualization, and windows servers. Capabilities

Skills

• Technology Graduate OR Bachelor of Science in IT

. • Must have a prior minimum 1 year of experience in customer service or technical support role.

• Effective interpersonal skills and relationship-building skills. • Strong written and oral communication skills (Must have).

• Strong analytical and problem-solving abilities, with keen attention to detail.

• Must be a team player but should also understand the importance of individual contributions.

• Self-motivated and directed, able to effectively prioritize and execute tasks in a high-pressure environment.

• Must be flexible to work any shift in a 24/7 operation including night shifts.

• Candidate should be open for transfer to another location or office, if the job requires so or in the interest of the business requirements. • The work location will be decided by the Organization depending upon the business requirement

. • Candidate should be amendable to work from office. Behavioral Skills

• Longevity and commitment in previous work

• Team player

• Ability to meet target under pressure and time bound deadlines.

What you need to have:

• 2+ years experience as a Brand Manager / Category Manager / Marketing Manager or similar experience in a startup also works
• Sales/P&L Management - Any experience in managing top line sales and responsible for achieving top-line numbers
• Marketing - Has managed marketing strategy; worked with cross-functional teams to execute marketing campaigns 
• ECommerce experience - Should have a fair understanding of online/digital sales and marketing - Familiar with managing digital campaigns and online customer journey   
• Strong growth trajectory    

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

Requirements :

- 3+ years of professional software development experience

- 2+ years of object-oriented Java/J2EE hands-on development

- Spring (MVC, IOP/DI, REST, Security) & Hibernate/Spring

- REST web services

- Anyone of the messaging solutions like Kafka, RabbitMQ

Desirables :

- SQL, No SQL concepts

- Experience of Redis or/and Mongo DB

- Agile methodology

- Experience leading or working with cross geography teams

- Unix, shell scripting & Build Systems

Bonus :

- Microservice design and development experience

- Android application development experience

- Experience in performance optimization is an added advantage

- Full SDLC experience (requirements gathering, architecture, development, QA, etc.)

Responsibilities :

- You will be working with the Supply Chain Management team building a leading eCommerce platform for Asian markets

- Order Promising system, promising the order delivery promise date to customer by applying the constraints on current resource availability across different steps in the supply chain. This system needs to scale for thousands of requests per minute with few million seconds of response time

- Warehouse and Inventory Management system, this system needs to scale to processing huge number of orders across different warehouse.

- Transportation and Logistics Management, involves planning and delivery of huge number orders to end customer. This system has the workflows to manage first mile, line haul and last mile delivery to customer

- Inventory Planning, helps in tracking different selling behaviours of the items and triggers / helps planners to replenish, promote, markdown or place inventory at right place to cut down the on hand inventory requirements

- You will be actively involved during the entire technology development lifecycle. Responsibilities will include all aspects from design, coding review, coding, unit testing, end user feedback cycle changes and manging and scaling the system in production.

- Primary role in leading software development teams

- The customized solutions that you will be architecting and developing will also require knowledge and experience with spring / Hibernate, SOAP / REST, microservices and SQL.

- Ability to learn new technologies quickly and willingness to read and digest large existing source code and take ownership on complex component or subsystem to drive improvements and re-architecture

- Work with a team of amazing developers and designers involved in the design and development of global platforms

- Invent and prototype new features, build, test and ship them to customers as SaaS, cloud-based or hosted product platforms

- Drive the implementation of new technologies that improve our ability to build great customers products.

- Participate in a fun, open learning environment with great benefits and smart talented folks that represent among the best globally.

Qualification :