Data Science (R / Python)

Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
• Build tools for automating repetitive asks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
• Work closely with top management to prioritize information and analytic needs

Requirements:

• Excel
• Scrapping
• Medium Communication Skill (Spoken and written)
• SaaS industries knowledge
• Add Product
• Check Dodontdo
• Scrapping
• Work on Support Tickets (Resolve customers issue)

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

• You'd have to set up your own shop, work with design customers to find generalizable use cases, and build them out.
• Ability to collaborate with cross-functional teams to build and ship new features
• At least 2-5 years of experience
• Predictive Analytics – Machine Learning Algorithms, Logistics & Linear Regression, Decision Tree, Clustering. 
• Exploratory Data Analysis – Data Preparation, Data Exploration, and Data Visualization. 
• Analytics Tools – R, Python, SQL, Power BI, MS Excel.

Square Panda is a startup headquartered in Sunnyvale, CA with additional offices located in India 

and China. We are in a research based Ed-Tech space, focusing on children's early literacy. We 

have 3000+ schools under our belt and are proud to cater the needs of English Language 

development of 70,000+ kids worldwide. Our multisensory neuroscience research-based phonics 

learning system comes equipped with educational games to teach children many essential skills. 

With a curriculum that has been specially adapted for Indian schools and children, we strive to 

empower beginner learners through phonics awareness.

  Responsibilities 

o Lead the identification and execution of opportunities where Analytics can make a difference across the company with focus on multiple markets we operate in - US, India and China.

 o Actively champion adoption of the analytics solutions across various markets and functions

 o Translate business problems into Insights projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized.

 o Excellent project management and executive communication skills.

 o Understanding of the techniques and technologies of data science, along with a detailed understanding of the challenges associated with each (e.g. overfitting, model refresh, challenge of acquiring training data, cost of compute, etc.)

 o Proactively and continuously assess the marketplace and its dynamics, customers, and competitors. 

o Provide an unbiased point of view on the performance of markets/brands, supported by facts and evidence

 o Develop research strategies to ensure internal understanding of customer and competitor insights 

o Develop and implement market research & analytical plans, in collaboration with cross‐functional teams.

 o Seeks out alternative/creative ways of meeting an information need, considering new techniques to address business challenges.

 o Monitor program risks and ensure appropriate actions are taken, including escalating issues timely to the management 

o Maintain understanding of business operations and how users interact with the relevant systems and use that understanding to provide decision support analysis.

 o Tap the working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions. 

o Enthusiasm, commitment, and business savvy to navigate the technical, political, and organizational roadblocks that can emerge.

 Desired Profile 

o 6-8 years of experience in executing multiple analytics projects end to end

 o Entrepreneurial mind-set o Should have played hands on data sciences role in the past with full knowledge of which analytics technique to apply 

o Background of core consulting / start up handling end to end projects o Excellent communication and project management skills o Ability to lead both business and analytics team to generate ROI and success for business o Expertise across the spectrum of analytics - Dashboards, Visualizations, Insights, Data Science driven AI, ML Projects  

• Strong in problem solving, algorithms and data structures
• Proficient in Python
• Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI
• Experience with knowledge Graph or any graph based system is plus
• Able to train and deploy models
• Broad knowledge of machine learning algorithms and principles
• Performance profiling and Tuning
• Communicate and propose solutions to business challenges
• Familiarity with at least one of the cloud computing infrastructure - GCP/AWS
• Keep abreast with the latest technological advances
• Team mentoring and leadership skills.