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
About Us : - Kayzen powers the world's best mobile marketing teams to take programmatic in-house. Built on the three key pillars of performance, transparency, and control, Kayzen is a software platform which enables leading app developers, agencies and entrepreneurs to run programmatic user acquisition, retargeting and upper funnel campaigns in-house. - With engineering teams across Berlin and Bangalore, we work on some of the most complex problems in ad-tech building scalable systems listening to 60bn daily ad requests from 1bn+ unique users worldwide. - Kayzen platform is based on sophisticated network of microservices accessible via API and elegant user interface. Website : www.kayzen.io Responsibilities : - Design and develop algorithmic solutions and models for mission-critical problems, delivering high-accuracy and performance in data extraction - Contribute in all phases of the Product Development Lifecycle - Creating efficient solutions and methodologies to address problems related to Real Time Bidding (RTB) such as bid optimization, publisher quality, and audience expansion - Optimize implementations for maximum speed,performance and scalability Requirements : - Excellent programming skills - (at least one of)Python/Java - Experience with ML tools and libraries such as PySpark, Vowpal Wabbit, Scikit-learn, R, Spark, TensorFlow - Strong background in learning algorithms (multi-class, classifications, decision trees, support vector machines and deep learning) - Experience with Unix/Linux - A willingness to dive deep, experiment rapidly and get things done - BE/BTech/MTech or a related technical discipline from reputed universities - Attention to detail, data accuracy, and quality of output - Being passionate about creating great products and experiences for our customers - Strong analytical skills are necessary as the work involves projecting outcomes and isolating issues that need to be resolved to make programs more effective - 3+ years of experience applying machine learning and NLP to solving real-world problems - High levels of creativity and quick problem-solving capabilities, a self-starter with goal-driven focus - Preferred background from the ad-tech industry What do we offer? - An opportunity to work for mobile advertising companies in the Ad Tech space - You get valuable insights into mobile marketing, entrepreneurship and have a high impact on shaping the expansion and success of Kayzen across the globe. - You get an opportunity to be responsible for and manage your own projects - You work directly with decision makers and have an impact in the organization - You experience an excellent learning culture - You are part of a fun, international team of outstanding talents - You enjoy a competitive remuneration package and much more!
At HyperWorks Imaging, we are removing crucial business bottlenecks in R&D, Medtech and Foodtech. Our team members use the latest advances in deep learning and multi-modal machine learning techniques to solve these diverse problems. Some example implementations are in optimizing image based workflow for next gen battery chemistry, enhancing supermarket checkout via visual analytics, creating quality control schema for high value cash crops etc. We expect our new team members to be hands-on contributors who do not shy away from sharing ideas but are also good at trade offs involving quick fixes and deep dives. Primary Duties: 1. Propose and implement novel ML architectures to solve problems at hand. 2. Understand existing ML frameworks and test various optimizations scenarios. 3. Improve accuracies of existing ML algorithms. Skills required: Theano, Tensorflow, Keras, Scikit-Learn, Pandas, Skimage, Image Analytics, CNNs, C++ Other requirements: ➢ Engineering degree or a self taught genius. ➢ Experience with Deep Learning for image analytics ➢ Demonstrated experience (implementations on github, Kaggle etc). Remuneration: 1. Depending on experience, ESOPs for Rock Stars.