Darwin Labs (www.darwinlabs.io)
We are Entrepreneurs and Darwinians who enjoy creating businesses.
We are building products on Bitcoin, Blockchain, Cryptocurrencies, Virtual Reality, Augmented Reality and Ad Tech.
We are technology partner for GBMiners (www.gbminers.com), which is second biggest Bitcoin mining pool outside china and currently operating at 5% of Network’s Hashing Power. The pool was launched on 31st August and since then has been the fastest growing bitcoin mining pool globally.
We run South East Asia’s First Blockchain Incubator, Satoshi Studios (www.satoshistudios.io). The incubator offers 50K USD in funding to blockchain startups from South East Asia in return for 8 -15% equity.
Incubator is backed by people like Roger Ver and will launch its first batch in second quarter this year
We at Faasos, are looking for a Data Scientist that will help us discover the information hidden in our ocean of data, and help us make smarter decisions to "delight" our customers .Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Requirements would include - build recommendation systems-, - automate customer scoring using machine learning techniques-, - develop internal A/B testing procedures-, - build automated fraud detection-, "creating optimal price prediction model" etc. Responsibilities - Selecting features, building and optimizing classifiers using machine learning techniques - Data mining using state-of-the-art methods - Extending company's data with third party sources of information when needed - Enhancing data collection procedures to include information that is relevant for building analytic systems - Processing, cleansing, and verifying the integrity of data used for analysis - Doing ad-hoc analysis and presenting results in a clear manner Skills and Qualifications - Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with common data science toolkits, such as Python, Pandas, Jupyter, Spark, Hadoop etc. Excellence in at least one of these is highly desirable - Great communication skills - Experience with data visualisation tools, such as D3.js, GGplot, etc. - Proficiency in using query languages such as SQL, Hive, Pig - Experience with NoSQL databases, such as MongoDB, Elasticsearch, etc - Good applied statistics skills, such as distributions, statistical testing, regression, etc. - Good scripting and programming skills - Data-oriented personality Interested can share their profiles.
It is my pleasure to introduce you to IDEAS2IT Technologies, Chennai. If you are looking for a challenging position as a BigData engineer solving complex business problems by applying the latest in Data Science, Machine Learning and AI read on. Ideas2IT is a high-end product engineering firm that rolls out its own products and also helps Silicon Valley firms with their product engineering. We are looking for super smart Techies to be part of our Data Science Lab. You will be working on projects like An AI platform built using Google TensorFlow for a predictive hiring product. Betting odds platform that to match odds offered to leverage spreads PPO platform for predictive pricing and promotions for enterprise eCommerce. Part of your toolset will be Google TensorFlow, Python ML frameworks, Apache Spark, R, Google BigQuery, Scala / Octave, Kafka and so on. If you have any relevant experience great! If not, it doesn't matter. We believe in hiring people with high IQ and the right attitude over ready-made skills. As long as you are passionate about building world-class enterprise products and understand whatever technology that you are working on in-depth, we will bring you up to speed on all the technologies we use. Oh BTW, did we mention that you need to be super smart? Sounds interesting? Ideas2IT is a high-end product firm. Started by an ex-Googler, Murali Vivekanandan, we count Siemens, Motorola, eBay, Microsoft and Zynga among our clients. We solve some very interesting problems in the USA startup ecosystem and have created great products in the process. When we build, we build great! We actively contribute to open source projects. We've built our own frameworks. We're betting the house on Big Data, and with a Stanford grad leading the team, we're sure to win. We have rolled 2 of our products as separate companies last year and raised institutional funds - Pipecandy, Idearx.
Being in a small team, this role is for a sound developer who is in love with data. Whether it's working with huge amount of data, using data to drive insights or finding innovative ways to pull data. Let us know if you'd like to explore this role with us more.
We are a FinTech Startup that has great opportunity to disrupt financial services sector and has global outreach. We are working on exciting technologies from Big Data, Bayesian Algorithm, Machine Learning to NLP and high computational models. We plan to launch the product in multiple countries. We have a large vision and great opportunity to be game changer in the industry. We are not looking for iterations in pursuit of a business model. Our Business model is our IP. We are intending to create new algorithms to mine data to create a customer segment of one and add real value to our customers. Our work would entail creation of new intellectual properties and many opportunities for patents. If you are excited to join a startup that holistically transforms Banking sector in India, please reach out to me - email@example.com
We are a FinTech Startup that has great opportunity to disrupt financial services sector and has global outreach. We are working on exciting technologies from Big Data, Bayesian Algorithm, Machine Learning to NLP and high computational models. We plan to launch the product in multiple countries. We have a large vision and great opportunity to be game changer in the industry. We are not looking for iterations in pursuit of a business model. Our Business model is our IP. Looking for a smart CTO who is keen to ride this journey along with us. Following are key traits that we are looking for: Experience: - Prior Statup experience, preferably in Fintech - Willing to get hands dirty and be smart about approach Technology: - Strong Engineering Discipline - Knowledge of full stack technology - Exposure/Understanding of Machine Learning - Not looking for specific technology area as I expect CTO to have the ability to learn new technologies as required Leadership/Soft skills: - Strategic Thinking (more importantly, Thinking Big) - Innovative - think out of the box - Good Communication skills - Strong Customer focus We are currently in Product Development stage and are keen to bring on an outstanding CTO - who not only contributes from technology perspective but also from business perspective.
Core Skills Python Data science and analytical background Interacting with technical and non-technical stakeholders Machine learning and exploratory data analysis Desirable Technical Skills Data Science and Engineering: PySpark, PySpark ML, Python, Hive, Postgres, Sk-learn Machine Learning: Collaborative filtering, NLP, TF-IDF, Decision trees, Regression, Clustering AWS: EC2, RDS, EMR, Kinesis, S3 Cloud Providers: AWS (primary), Google Cloud, Microsoft Cognitive Services, Watson APIs Visualization & UI: Tableau, Plotly, Python Flask, Zeppelin
Key Skills: · Ability to balance the demands of multiple clients concurrently. · Ability to convey complex data science concepts to a non-technical audience. · Proficiency in MySQL or similar relational database software. · Extensive Microsoft Excel and Access knowledge and skills. · STATA or R and Python proficient. · Familiarity with R or Pandas for data analysis · Able to craft complex visualizations of data and system architecture; familiar with the creation of operational data models (program data ecosystem mapping and interpretation). Experience: · 3-7 years’ experience in an analytics-intensive position - data scientist, statistician, economist, or comparable. · 3-7 years’ experience with data and/or enterprise software implementation in the field: benchmarking of technology and systems, data management and architecture, program implementation and cycle analysis. · Experience performing data management exercises inside of large organizations (bonus points forinternational public sector entities). · Prior experience with complex data set merging, cleaning, and aggregation
Data Scientist - We are looking for a candidate to build great recommendation engines and power an intelligent m.Paani user journey Responsibilities : - Data Mining using methods like associations, correlations, inferences, clustering, graph analysis etc. - Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume - Design and implement machine learning, information extraction, probabilistic matching algorithms and models - Care about designing the full machine learning pipeline. - Extending company's data with 3rd party sources. - Enhancing data collection procedures. - Processing, cleaning and verifying data collected. - Ad hoc analysis of the data and present clear results. - Creating advanced analytics products that provide actionable insights. The Individual : - We are looking for a candidate with the following skills, experience and attributes: Required : - Someone with 2+ years of work experience in machine learning. - Educational qualification relevant to the role. Degree in Statistics, certificate courses in Big Data, Machine Learning etc. - Knowledge of Machine Learning techniques and algorithms. - Knowledge in languages and toolkits like Python, R, Numpy. - Knowledge of data visualization tools like D3,js, ggplot2. - Knowledge of query languages like SQL, Hive, Pig . - Familiar with Big Data architecture and tools like Hadoop, Spark, Map Reduce. - Familiar with NoSQL databases like MongoDB, Cassandra, HBase. - Good applied statistics skills like distributions, statistical testing, regression etc. Compensation & Logistics : This is a full-time opportunity. Compensation will be in line with startup, and will be based on qualifications and experience. The position is based in Mumbai, India, and the candidate must live in Mumbai or be willing to relocate.
This is one of those exceptional roles where, unlike most data science roles that shape the marketing/ optimization efforts, data science here helps build a consumer-facing product from the ground up. ------Key Skills Expected--------- • Strong understanding & experience in building efficient search & recommendation algorithms; experience in Machine/ Deep Learning would be beneficial • Driving semantics through NLP of unstructured and semi-structured data • Should be able to independently build large-scale crawlers, clean & analyze that information and use as an input-feed to ranking/ recommendation algorithms • Should have excellent back-end coding skills • Strong knowledge of hosting webservices like AWS • Experience in Python-Django would be a plus We are looking for self-starters who are looking to solve genuinely hard problems.