Proficiency using R / Python for predictive modelling, pattern recognition, and algorithm prototyping. • Should have exposure to appropriate tools in a Linux environment • Can apply probability models and machine learning approaches to solving complex problems • Adept at data manipulation, transformation, and decomposition • Identify key variables, parameters and elements defining a problem or its solution. • Can distill highly technical knowledge and techniques to collaborators outside the problem domain. • Java and/or Scala programming is a plus • Should be comfortable understanding business domain problems and formulating appropriate algorithms • Should be able to explain complex problems and solutions to business stakeholders and non- data science engineers
If you enjoy the challenges of working at a start-up and passionate about meeting new people and building strong relations then keep reading. eKincare has developed India’s first AI based personal health assistant. eKincare’s patent pending technology reads medical data from health records and various healthcare interventions to predict future health risks and provide timely personalised recommendations to beat those risks. Recognised among the “100 most innovative digital healthcare companies in the world” by the journal of mHealth, we are leveraging technology and data science to make healthcare simple. See our story @ https://yourstory.com/2016/04/ekincare-growth-story/ If you're an energetic, street smart, creative, hungry "crushing it" kind of professional and are interested in truly making a difference in Indian healthcare then apply now! Before it's too late! • We expect you to work on complex, cross-functional analytical and research-oriented projects using advanced computational, machine learning and deep learning algorithms. • You will be responsible for developing proprietary handling large amount of structured and unstructured data • You will be expected to use relevant knowledge of computer science fundamentals, and machine learning to help build scalable analytical solutions • You will ensure that the data science team works closely with our technical team for design and development of the analytical solutions Pre-requisites and skillsets for this role: • 4+ years of experience in applying concepts in Data Science, Machine Learning, Algorithm development, Advanced Computing or Statistical Modeling to solve real-world problems. • Familiarity with python (Jupyter notebook) & its frameworks in – scikit learn, Keras, Pytorch. • Strong modelling skills and ability to build practical models using advanced algorithms such as Random Forests, Neural Networks etc., • Undergraduate degree from premier institutions such as IIT, BITS, NIT etc. • Strong communication skills enabling you to clearly communicate your thoughts/work to external or internal teams
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.
1 to 3 years of experience in product analytics - Highly conversant with Google Analytics and other similar tools - Basic programming ability(preferably R or Python)
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
SigTuple is looking for an energetic and entrepreneurial AI data analyst who is interested in delivering on innovative AI-based solutions. A candidate with strong analytical and strategic thinking skills will be the ideal fit. We are looking for someone who can quickly learn the domain and is ready to swim with and against the tide to deliver on the solutions. Responsibilities: - Data strategy and data management - Validation of products from a market fit perspective - Pipeline for continuous tracking and validation of Deep learning models - Building metrics and corresponding visualization for continuous tracking of data and performance of models Skill sets: - Strong analytical and problem solving skills - Excellent planning and strategic thinking skills - Exceptional data analysis skills and experience in data management tools - Preferably someone who is comfortable with Python, Shell and MongoDB - Preferably someone who is hands on and has a start up experience Educational Background and Experience: - Minimum Bachelor’s degree in Engineering or Science - 0 - 3 years of relevant experience
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!!
Drive the creation of new models and capabilities that will leapfrog traditional bureau-based modelling done at most major financial institutions leveraging a wide array of data from both traditional and non-traditional sources. ● Acquire deep understanding of MSME lending domain ● Perform data integration, manipulation, and querying for purposes of reporting and more sophisticated analytics ● Engage in regular problem solving sessions with overall leadership team to present findings and refine their own analytics plan. ● Manage data analysis to develop fact-based recommendations for innovation projects. ● Mine Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions. ● Remain current on new developments in data analytics, Big Data, predictive analytics, machine learning and technology
Job Description: Data Science Analyst/ Data Science Senior Analyst Job description KSTYCH is seeking a Data Science Analyst to join our Data Science team. Individuals in this role are expected to be comfortable working as a software engineer and a quantitative researcher, should have a significant theoretical foundation in mathematical statistics. The ideal candidate will have a keen interest in the study of Pharma sector, network biology, text mining, machine learning, and a passion for identifying and answering questions that help us build the best consulting resource and continuous support to other teams. Responsibilities Work closely with a product scientific, medical, business development and commercial to identify and answer important healthcare/pharma/biology questions. Answer questions by using appropriate statistical techniques and tools on available data. Communicate findings to project managers and team managers. Drive the collection of new data and the refinement of existing data sources Analyze and interpret the results of an experiments Develop best practices for instrumentation and experimentation and communicate those to other teams Requirements B. Tech, M.Tech, M.S. or Ph.D. in a relevant technical field, or 1+ years experience in a relevant role Extensive experience solving analytical problems using quantitative approaches Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources A strong passion for empirical research and for answering hard questions with data A flexible analytic approach that allows for results at varying levels of precision Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Fluency with at least one scripting language such as Python or PHP Familiarity with relational databases and SQL Experience working with large data sets, experience working with distributed computing tools a plus (KNIME, Map/Reduce, Hadoop, Hive, etc)
Primary Skills : - B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. - Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). - Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some. - Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. - Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. - Experience of working with Elastic search is a plus. - Experience of working on Microsoft Azure is a plus although not mandatory. - Basic knowledge of Linux and related scripting like Bash/shell script. Role Description (Roles & Responsibilities) : - Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives. - Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. - Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots.