We are looking for passionate problem solvers to work with our talented team of analytics professionals to build algorithms and models. If you are curious and crazy about optimised solutions, then you are the one we are looking for. The right candidate: 1. Should have good understanding of Machine Learning models, to be able to optimise the current models (training/ better approach/ design new algorithm etc.) 2. Should have hands-on experience in statistical modelling 3. Must have hands-on experience working with Microsoft Azure Machine Learning
Simplilearn.com is the world’s largest professional certifications company and an Onalytica Top 20 influential brand. With a library of 400+ courses, we've helped 500,000+ professionals advance their careers, delivering $5 billion in pay raises. Simplilearn has over 6500 employees worldwide and our customers include Fortune 1000 companies, top universities, leading agencies and hundreds of thousands of working professionals. We are growing over 200% year on year and having fun doing it. Description We are looking for candidates with strong technical skills and proven track record in building predictive solutions for enterprises. This is a very challenging role and provides an opportunity to work on developing insights based Ed-Tech software products used by large set of customers across globe. It provides an exciting opportunity to work across various advanced analytics & data science problem statement using cutting-edge modern technologies collaborating with product, marketing & sales teams. Responsibilities • Work on enterprise level advanced reporting requirements & data analysis. • Solve various data science problems customer engagement, dynamic pricing, lead scoring, NPS improvement, optimization, chatbots etc. • Work on data engineering problems utilizing our tech stack - S3 Datalake, Spark, Redshift, Presto, Druid, Airflow etc. • Collect relevant data from source systems/Use crawling and parsing infrastructure to put together data sets. • Craft, conduct and analyse A/B experiments to evaluate machine learning models/algorithms. • Communicate findings and take algorithms/models to production with ownership. Desired Skills • BE/BTech/MSc/MS in Computer Science or related technical field. • 2-5 years of experience in advanced analytics discipline with solid data engineering & visualization skills. • Strong SQL skills and BI skills using Tableau & ability to perform various complex analytics in data. • Ability to propose hypothesis and design experiments in the context of specific problems using statistics & ML algorithms. • Good overlap with Modern Data processing framework such as AWS-lambda, Spark using Scala or Python. • Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting various A/B experiments. • Bachelor Degree in Statistics or, prior experience with Ed-Tech is a plus
Company Overview: Zivame is a Women’s fashion brand company which started in 2011 as an online lingerie retailer featuring hundreds of styles for the Indian woman. We believe that we are in a very exciting junction of our journey. We have scaled up from being a start-up and now are looking at building a sustainable, fast growing and a profitable company by establishing its own lingerie and Activewear brand in the industry. Culturally, we pride ourselves in being an open, transparent company which retains its startup DNA. We encourage teams and individuals to take full ownership and drive initiatives in a fully empowered environment. We encourage experimentation and risk-taking and a constant drive to build something new which can help us deliver better outcomes to our customers. Our thesis is that every Individual should within Zivame find all means to make and drive impact. Roles & Responsibilities: • Interested in the creation of algorithms to solve for business problems like personalization, price elasticity, customer retention, LTV prediction, feedback sentiment analysis, route optimization, supply chain optimization and effectively translating them into tech-products • Excited by Zivame’s vision of creating a technology-led, highly personalized omnichannel experience for women of the world • Convert data from various sources (clickstream, feedback, sales/merchandise, customers etc.), to facilitate analysis, conduct analysis, extract Insights, formulate recommendations and build product algorithms • Enhancing data collection procedures and pipelines to include information that is relevant for building analytic systems • Data scientists are expected to drive projects independently with senior management stakeholders & also collaborate with teams to drive impact and results Preferred Qualifications: • 3 years of analytics/data sciences experience with a bachelors or master’s degree from Tier-1 Engineering colleges or 2 years of analytics/data sciences experience with MBA from Tier-1 colleges • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Understanding of machine learning techniques and algorithms, such as K-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data science tool-kits, and visualization platforms such as R, Python, Tableau, Power-BI • Strong problem-solving ability - Candidate needs to exhibit structured thinking, very strong Analytical Skills, and Process Orientation • High on energy, assertive and the ability to work under pressure and tight deadlines • Excellent written and verbal communication skills
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Crediwatch is a leading fintech organization working with leading national and international financial institutions helping them in the space of analytics, credit appraisal, risk profiling, lead generation, early warning systems. We are looking to expand our data science team who will work on cutting edge platforms and help enhance Crediwatch's proprietary deep learning models across formats for text, video, images, audio. Looking for candidates who have a hands on understanding of the various industry standard ML platforms and tools to build models at scale.
4+ years of experience in applied research or industry work experience ● Degree in statistics, applied mathematics, machine learning, or other highly quantitative experience ● Experience in working with technologies and tools like R, Graphlab, Hadoop, Hive, Spark, Pig ● Coding proficiency in at-least one language like python or Java
We are looking for highly passionate and enthusiastic players for solving problems in medical data analysis using a combination of image processing, machine learning and deep learning. As a Senior Computer Scientist at SigTuple you will have the onus of creating and leveraging the state-of-the-art algorithms in machine learning, image processing and AI which will impact billions of people across the world by creating healthcare solutions that are accurate and affordable. You will collaborate with our current team of super awesome geeks in cracking super complex problems in a simple way by creating experiments, algorithms and prototypes that not only yield high-accuracy but are also designed and engineered to scale. We believe in innovation - needless to say that you will be part of creating intellectual properties like patents and contributing to the research communities by publishing papers - it is something that we value the most What we are looking for: · Hands on experience along with a strong understanding of foundational algorithms in either machine learning, computer vision or deep learning. Prior experience of applying these techniques on images and videos would be good-to-have. · Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining algorithms. · Programming experience in C, C++, Python What should you have: · 2 - 5 years of relevant experience in solving problems using machine learning or computer vision · Bachelor degree or Master degree or PhD in computer science or related fields. · Be an innovative and creative thinker, somebody who is not afraid to try something new and inspire others to do so. · Thrive in a fast-paced and fun environment. · Work with a bunch of data scientist geeks and disruptors striving for a big cause. What SigTuple can offer: You will be working with an incredible team of smart & supportive people, driven by a common force to change things for the better. With an opportunity to deliver high-calibre mobile and desktop solutions integrated with hardware that will transform healthcare ground up, there will ultimately be different challenges for you to face. Sufficient to say that if you thrive in these environments, the buzz alone will keep you energized. In short you will snag a place at the table of one of the most vibrant start-ups in the industry!!