WyngCommerce

WyngCommerce is building state of the art AI software for the new age Consumer Brands & Retailers which helps them to provide best of the class customer experiences. Our solutions help the brands in identifying the right opportunities in terms of Inventory Placement, Assortment & Overall Planning of their merchandise. Backed by a clutch of prominent angel investors & having some of the category leaders in Indian retail industry as early adopters, we are looking to hire for our engineering team. The engineering team at WyngCommerce is building one the most robust & scalable data systems & infrastructure which can handle Millions of concurrent computations, seamlessly connect to multitude of Enterprise Data Sources, implementing libraries of state of the art optimisations & other algorithms using various ML & DL techniques. Your Role & Responsibilities - > Own a set of Modules / Components in the Data Processing & Core Compute Engine > Work in tandem with the Data Science team to implement & optimise performance of various algorithms > Come up with innovative & fast MVPs to solve business problems by working closely with the Founders > Driving Design, Architecture & Infrastructure level decisions & setting up best practices for the same to deliver best in class performance & data security > Leading development of Push insights & analytics for the consumption of users Desired Skills & Experiences - > Proficiency with Python, Django, Postgres SQL with 2+ years of work experience in Product Orgs > Excellent understanding of Data ETL, Data Warehouses, Queues & Messaging Pipelines, Database performances & Hands on experience of Big Data Systems (Spark, Kafka, Hive etc) > Product thinking, Building robust reusable components from integrations, ETL to Optimisation & ML libraries & workbenches > Ability to weigh trade offs of speed vs perfection & take calls to use open source / other software component to fasttrack the go to market > Experience in developing Real World ML/Optimisation/advanced analytical systems > Basic understanding of Maths behind statistical methods & ML techniques will be a plus point

WyngCommerce is building state of the art AI software for the new age Consumer Brands & Retailers which helps them to provide best of the class customer experiences. Our solutions help the brands in identifying the right opportunities in terms of Inventory Placement, Assortment & Overall Planning of their merchandise. Backed by a clutch of prominent angel investors & having some of the category leaders in Indian retail industry as early adopters, we are looking to hire for our engineering team. The engineering team at WyngCommerce is building highly robust & scalable data system & infrastructure which can handle Millions of concurrent computations, seamlessly connect to multitude of Enterprise Data Sources, implementing libraries of state of the art optimisations & other algorithms using various ML & DL techniques. Your Role & Responsibilities - > Contribute in all stages of development right from system architecture, low level design, database design to setting up deployment infra & processes. > Own a set of Modules / Components in the Data Processing & Core Compute Engine 
> Work in tandem with the Data Science team to implement & optimise performance of various algorithms > Come up with innovative & fast MVPs to solve business problems by working closely with the Founders > Driving Design, Architecture & Infrastructure level decisions & setting up best practices for the same to deliver best in class performance & data security 
> Mentoring the engineering team and actively participate in hiring 
 Desired Skills & Experiences - > Proficiency with Python, Django, Postgres SQL with 3+ years of work experience in building scalable products > Excellent understanding of Queues & Messaging, Asynchronous Tasks, Data Pipelines, Database performances, Query Optimisation > Good understanding of AWS/Azure components and have used them in their day to day activities > Product thinking, Building robust reusable components from integrations, ETL to Optimisation & ML libraries & workbenches > Ability to weigh trade offs of speed vs perfection & take calls to use open source / other software component to fast-track the go to market > Basic understanding of Maths behind statistical methods & ML techniques will be a plus point

WyngCommerce is building state of the art AI software for the Global Consumer Brands & Retailers to enable best-in-class customer experiences. Our vision is to democratise machine learning algorithms for our customers and help them realise dramatic improvements in speed, cost and flexibility. Backed by a clutch of prominent angel investors & having some of the category leaders in the retail industry as clients, we are looking to hire for our data science team. The data science team at WyngCommerce is on a mission to challenge the norms and re-imagine how retail business should be run across the world. As a Senior Data Scientist in the team, you will be driving and owning the thought leadership and impact on one of our core data science problems. You will work collaboratively with the founders, clients and engineering team to formulate complex problems, run Exploratory Data Analysis and test hypotheses, implement ML-based solutions and fine tune them with more data. This is a high impact role with goals that directly impact our business. Your Role & Responsibilities - - Lead and Own the Thought Process on one or more of our core Data Science problems e.g. Product Clustering, Intertemporal Optimization, etc. - Actively participate and challenge assumptions in translating ambiguous business problems into one or more ML/optimization problems - Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems - Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP - Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring) - Deploy, maintain, and debug ML/decision models in production environment - Analyze and assess data to ensure high data quality and correctness of downstream processes - Define and own metrics on solution quality, data quality and stability of ML pipelines - Communicate results to stakeholders and present data/insights to participate in and drive decision making Desired Skills & Experiences - - Bachelors or Masters in a quantitative field from a top tier college. - Minimum of 3+ years experience in a data science role in a technology company - Solid mathematical background (especially in linear algebra, probability theory, optimization theory, decision theory, operations research) - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies - Solid foundation in data structures, algorithms, and programming language theory - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance - Hands-on experience in at least one of the focus areas of WyngCommerce Data Science team: (a) Product Clustering, (b) Demand Forecasting, (c) Intertemporal Optimization, (d) Reinforcement Learning, (e) Transfer Learning - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time) - Experience using Cloud-based ML platforms (e.g., AWS Sagemaker, Azure ML), Cloud-based data storage, and deploying ML models in product environment in collaboration with engineering teams - Excellent written and verbal communication skills for both technical and non-technical audiences - (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems - (Nice to have) Research experience and publications in top ML/Data science conferences

We are looking for a Solution Architect to join the WyngCommerce team. As a SA, you will be responsible for doing client research, conducting workshops and product walkthrough with potential clients. This is a client facing role which will require you to own key client relationships in the early phase of our interaction with them. You will be trained to be a subject matter expert on our product & you will be responsible to explain clients how our product drives benefits for them. This is very challenging role as each client has different levels of data and process maturity. You need to identify what drives different stakeholders within the client teams and then explain them how we can drive benefits for the relevant stakeholder. Given that the product is also getting developed, you will also drive critical inputs to the product team as you will be the closest to the end customer. You will be wearing multiple hats and in a lot of cases help define playbook for key demand generation functions within the company. There will a lot of opportunities to grow within business development, marketing & client delivery teams. You will directly work with the founders & witness the transition of the company from a start-up to a high-growth company. While you will be based out of Bangalore, this is a travel role & will require you to travel frequently to cities like Mumbai & Delhi. You will have the following responsibilities: 1. Develop customized pitches for each client with relevant product details & case studies 2. Develop and manage relationships with key stakeholders within potential clients 3. Hold in-person meetings and white board sessions with different client stakeholders for product demo, pitches, etc. You will be a subject matter expert on the product 4. Understand client’s supply chain set up, current process, organization structure and data maturity to come up with phase-wise roll out plans 5. Post deal closure, define clear deliverables & phases of engagement to the client delivery team and manage the transition of the client form business development to client delivery phase 6. Formulate and execute different non-linear strategies for lead generation 7. Attend industry conferences and pitch the product to different potential customers & partners Requirements: • Undergraduate from Engineering streams • 1-4 years of Work Experience • At-least 1 year in client facing roles (can be roles like business development, account management & client delivery) • Excellent communication (written/verbal) skills, including delivering presentations • Excellent analytical thinking and problem solving skills (on the spot) • Adept with quick data analysis on spreadsheets • High interest in understanding machine learning & it’s business applications (prior experience is better, but not mandatory) • Interest in supply chain & merchandising domains, Appreciation of how machine learning can drive benefits in the above domains (prior experience is not mandatory) The role will need you to empathize with clients and think about challenges and problems form their perspective.

WyngCommerce is building a Global Enterprise AI Platform for top tier brands and retailers to drive profitability for our clients. Our vision is to develop a self-learning retail backend that enables our clients to become more agile and responsive to demand and supply volatilities. We are looking for a Business Analyst to join our team. As a BA, you will take end-to-end ownership of on-boarding new clients, running proof-of-concepts and pilots with them on different AI product applications, and ensuring timely product roll-out and customer success for the clients. You will also be expected to drive significant inputs to the sales, engineering, data science and product team to help us build for scale. An eye for detail, ability to process and analyze data quickly, and communicating effectively with different teams (Client, Sales and Engineering) are the qualities we are looking for. There will be opportunities to grow up within the same job family (lead a team of analysts) or to move to other areas of business like customer success, data science or product management. KEY RESPONSIBILITIES: - Understand the client deliverables from the sales team and come back to them with the timelines of solution / product delivery - Coordinate with relevant stakeholders within the client team to configure the WyngCommerce platform to their business, set-up processes for regular data sharing - Drive relevant anomaly detection analyses and work on data pre-processing to prepare the data for the WyngCommerce Analytics engine - Drive rigorous testing of results from the WyngCommerce engine and apply manual overrides, wherever required before pushing the results to the client - Evaluate business outcomes of different engagements with the client and prepare the analysis for the business benefits to the clients KEY REQUIREMENTS: - 0-2 years of experience in analytics role (preferably client facing which required you to interface with multiple stakeholders) - Hands-on experience in data analysis (descriptive), visualization and data pre-processing - Hands-on experience in python, especially in data processing and visualization libraries like pandas, numpy, matplotlib, seaborn - Good understanding of statistical and predictive modeling concepts (you not need be completely hands-on) - Excellent analytical thinking, and problem solving skills - Experience in project management and handling client communications - Excellent communication (written/verbal) skills, including logically structuring and delivering presentations

WyngCommerce is building state of the art AI software for the Global Consumer Brands & Retailers to enable best-in-class customer experiences. Our vision is to democratize machine learning algorithms for our customers and help them realize dramatic improvements in speed, cost and flexibility. Backed by a clutch of prominent angel investors & having some of the category leaders in the retail industry as clients, we are looking to hire for our data science team. The data science team at WyngCommerce is on a mission to challenge the norms and re-imagine how retail business should be run across the world. As a Junior Data Scientist in the team, you will be driving and owning the thought leadership and impact on one of our core data science problems. You will work collaboratively with the founders, clients and engineering team to formulate complex problems, run Exploratory Data Analysis and test hypotheses, implement ML-based solutions and fine tune them with more data. This is a high impact role with goals that directly impact our business. Your Role & Responsibilities: - Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems - Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP - Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring) - Deploy, maintain, and debug ML/decision models in production environment - Analyze and assess data to ensure high data quality and correctness of downstream processes - Communicate results to stakeholders and present data/insights to participate in and drive decision making Desired Skills & Experiences: - Bachelors or Masters in a quantitative field from a top tier college - 1-2 years experience in a data science / analytics role in a technology / analytics company - Solid mathematical background (especially in linear algebra & probability theory) - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance - Hands-on experience in at least one of the following: (a) Anomaly Detection, (b) Time Series Analysis, (c) Product Clustering, (d) Demand Forecasting, (e) Intertemporal Optimization - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time) - Excellent written and verbal communication skills for both technical and non-technical audiences - (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems - (Nice to have) Research experience and publications in top ML/Data science conferences

WyngCommerce is building state of the art AI software for the new age Consumer Brands & Retailers which helps them to provide best of the class customer experiences. Our solutions help the brands in identifying the right opportunities in terms of Inventory Placement, Assortment & Overall Planning of their merchandise. Backed by a clutch of prominent angel investors & having some of the category leaders in Indian retail industry as early adopters, we are looking to hire for our engineering team. The engineering team at WyngCommerce is building one the most robust & scalable data systems & infrastructure which can handle Millions of concurrent computations, seamlessly connect to multitude of Enterprise Data Sources, implementing libraries of state of the art optimisations & other algorithms using various ML & DL techniques. Your Role & Responsibilities - > Own a set of Modules / Components in the Data Processing & Core Compute Engine > Work in tandem with the Data Science team to implement & optimise performance of various algorithms > Come up with innovative & fast MVPs to solve business problems by working closely with the Founders > Driving Design, Architecture & Infrastructure level decisions & setting up best practices for the same to deliver best in class performance & data security > Lead & Mentor SDEs to setup best practices Desired Skills & Experiences - > Proficiency with Python, Redis, Postgres SQL with 2+ years of work experience in Product Orgs > Excellent understanding of Data ETL, Data Warehouses, Queues & Messaging Pipelines, Database performances & Hands on experience of Big Data Systems (Spark, Kafka, Hive etc) > Product thinking, Building robust reusable components from integrations, ETL to Optimisation & ML libraries & workbenches > Ability to weigh trade offs of speed vs perfection & take calls to use open source / other software component to fast-track the go to market > Experience in developing Real World ML/Optimisation/advanced analytical systems > Basic understanding of Maths behind statistical methods & ML techniques will be a plus point