We're building a quantitative hedge fund seeking developers to work with our traders in building trading systems. The ideal candidate will have a strong technical background in Python and/or C++ having experience working on some machine learning/deep learning/statistics project WHAT YOU WILL DO: - Build In-house robust systems - Evaluate new data sets for potential alpha generation WHO YOU ARE: - You have a background in Statistics and Computer Science - team person with a passion for solving hard problems in novel ways - Technically literate and able (and willing) to work without the support of a large quant/bank infrastructure - Comfortable working independently, crafting solutions to projects and problems first hand - Comfortable working in high growth, constantly-changing environment Conditions * Start date: May/June 2019 * Initial 1 year contract, with a 3 months probation period
Tradeindia is looking for Machine Learning Engineers to join its engineering team. The ideal candidate will have industry experience working on a recommendation engine, a range of classification and optimization problems e.g.: Collaborative filtering/recommendation User journey prediction Search ranking Text/ sentiment classification or spam detection Predictive analytics The position will involve taking Algorithm and Programming skills and applying them to some of the most exciting and massive SMEs user data. Qualification: M.tech, B.tech, M.C.A. Location: New Delhi About the company: Launched in the year 1996 to offer the Indian Business community a platform to promote themselves globally tradeindia.com has created a niche as India's largest B2B marketplace, offering comprehensive business solutions to the Domestic and Global Business Community through its wide array of online services, directory services and facilitation of trade promotional events. Our portal is an ideal forum for buyers and sellers across the globe to interact and conduct business smoothly and effectively. With an unmatched expertize in data acquisition and online promotion, Tradeindia subsumes a huge number of company profiles and product catalogs under 2,256 different product categories and sub-categories. It is well promoted on all major search engines and receives an average of 20.5 million hits per month. Tradeindia is maintained and promoted by INFOCOM NETWORK LTD. Today we have reached a database of 47,66,674 registered users (Jan 2019), and the company is growing on a titanic scale with a considerable amount of new users joining/registering everyday, under the innovative vision and guidance of Mr. Bikky Khosla, CEO.
•Analytics, Big Data, Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms Share CV to me at
Location: Gurgaon Role: • The person will be part of data science team. This person will be working on a close basis with the business analysts and the technology team to deliver the Data Science portion of the project and product. • Data Science contribution to a project can range between 30% to 80%. • Day to Day activities will include data exploration to solve a specific problem, researching of methods to be applied as solution, setting up ML process to be applied in context of a specific engagement/ requirement, contributing to building a DS platform, coding the solution, interacting with client on explanations, integration the DS solution with the technology solution, data cleaning and structuring etc. • Nature of work will depend on stage of a specific engagement, available engagements and individual skill At least 2-6 years of experience in: • Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms o Time Series Analysis o Optimization techniques and work experience with solvers for MILP and global optimization. • Data Science o Good experience in exploratory data analysis and feature design & development o Experience of applying and evaluating ML algorithms to practical predictive modeling scenarios in various verticals including (but not limited to) FMCG, Media, E-commerce and Hospitality. • Proficient with programming in Python (must have) & PySpark (good to have). Parallel ML algorithms design and development and usage for maximal performance on multi-core, distributed and/or GPU architectures. • Must be able to write a production ready code with reusable components and integration into data science platform. • Strong inclination to write structured code as per prevailing coding standards and best practices. • Ability to design a data science architecture for repeatability of solutions • Preparedness to manage whole cycle from data preparation to algorithm design to client presentation at individual level. • Comfort in working on AWS including managing data science AWS servers • Team player and good communication and interpersonal skills • Good experience in Natural Language Processing and its applications (Good to Have)
As a Senior Consultant Analytics, you shall gather, analyze, identify and lead actionable data insights to solve real complex challenges. Your work will directly influence decisions taken to build the most successful web/mobile gaming platform with games played by millions across the world. Responsibilities Leverage complex data algorithms and numerical methods for forecasting, simulation, and predictive analysis, designed to optimize key decisions and metrics such as retention, engagement, and operations. Work with all teams in the company to understand, plan and drive data-based actionable decisions, championing the Data Science culture. Analyze consumer data to drive insight on how to target effectively, retain customers at low cost, and optimize engagement metrics. Develop a reporting process for all KPIs. Recruit, develop and coach talent. Champion awareness of data indicators within the organization and teach everyone to proactively identify data patterns, growth trends, and areas for improvement. Qualifications B.tech or Bachelor degree in Data science. An MBA or advanced degree in a quantitative discipline is preferred. 3+ years in Data Science and Analytics execution, with specific experience in all stages - gathering, hygiene, and analysis of data resulting in actionable insights for an end-to-end product, marketing and business operations. Knowledge of advanced analytics including but not limited to Regression, GLMs, survival modeling, predictive analytics, forecasting, machine learning, decision trees etc. Past experience in at least one Statistical and analytic tools or language expertise R, Python, SAS etc.. Expertise in analysis Algorithms, Numerical Methods and Data Tactics used to drive operational excellence, user engagement and retention. Expertise in at least one visualization platforms such as Tableau, QlikView, Spotfire and Excel. Tableau skills preferred. Advanced SQL is mandatory skills. Ability to creatively solve business problems through innovative approaches. Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects. Highly analytical with the ability to collate, analyze and present data, and drive clear insights into decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, company divisions and partners.
- We are looking for passionate product managers who can help us build innovative and scalable solutions that would be used across industries and commodities.- You will own the roadmap of multiple products and work with various teams - sales, engineering, data science, testing.- You will prioritize the features to be built and coordinate to ensure they are built as per your high quality benchmarks and market requirements.- You will help in taking data driven decisions to help reduce ambiguity.The following experience and qualifications are useful but not mandatory :- Experience in UX design (wireframes, mockups) - Experience in software testing - Practical understanding of machine learning - Project management - MBA The following are required qualifications. - Education and practical engineering experience in software / hardware / data science - 1-4 years of work experience building technology solutions - Detail-oriented and cross-functional
Job Description – Data Scientist About Company Profile Precily is a startup headquartered in Noida, IN. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is data-analysis platform for enterprises that increase the efficiency of the workforce by providing AI-based solutions. Responsibilities & Skills Required: The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following: • Natural Language Processing (NLP), Neural Networks , Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science and analytics. • Proven experience implementing and deploying advanced AI solutions using R/Python. • Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. • Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). • Hand on in handling large amounts of structured and unstructured data. • Measure, interpret, and derive learning from results of analysis that will lead to improvements document processing. Skills Required: • Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks • Word Vectorizers • Word Embeddings ( word2vec & GloVe ) • RNN ( CNN vs RNN ) • LSTM & GRU ( LSTM vs GRU ) • Pretrained Embeddings ( Implementation in RNN ) • Unsupervised Learning • Supervised Learning • Deep Neural Networks • Framework : Keras/tensorflow • Keras Embedding Layer output Please reach out to us: firstname.lastname@example.org
About the company: GyanDhan is India's first education loan marketplace. We’re on the mission to ensure that financial obstacles never stand in the way of someone’s education dream. By leveraging data science, we provide awesome education loan options to students pursuing higher studies. Launched in Apr 2016, we have already received a phenomenal response with over INR 150 crores in sanctions (as of Sep 2017)! We count Sundaram Finance as an investor. We have been featured in TOI, Eenadu, Malayala Manorama and several startup newsletters such as YourStory, VCCircle etc. Want to be a part of the fight against inequality in education? Join us! Job description: Reporting to the CEO, the senior software developer will be responsible for leading the efforts on product development for GyanDhan. We are on the lookout for a candidate who will be part of the leadership team at GyanDhan in the future. The ideal candidate is not afraid to get his hands dirty, and is equally comfortable leading a team of developers when needed. Responsibilities Build a truly online interface that reduces the frictions in the current loan application process Focus on customer experience, both for the borrower and the lender side of the platform Partner with the decision science lead to ensure seamless integration with data providers and lending partners Desired profile / qualities Full-stack development experience Self-starter: Someone who can can handle develop independently Passionate about problem solving, ability to see the big picture Realizes the value of 80-20 Good to have: Prior startup experience / experience in setting up a tech team Prior experience at a bank / fin-tech / non-banking financial player in a technical role Github projects that we can look at Regular participation on Codechef, Topcoder etc. ( If yes, please cite your rank and pass on a link to your profile! ) FYI, our Tech Stack comprises: Ruby on Rails, Postgres, AWS, jQuery ESOPs will be over and above the base salary.