Location: Bangalore Educational Qualification: BE/B.Tech/M.Tech/MS/PhD or any academic qualification in a quantitative field preferred. Experience: 4+ years, flexible for the right candidate Job Responsibilities: Part of the Research team working continuously to improve ShieldSquare’s bot-human classification engine. Analyze billions of web page visits per month amounting to many terabytes of data and apply state-of-the-art Data Science and ML techniques to derive new patterns. As an area expert in ML, guide and mentor junior team members. Requirements: Excellent quantitative skills and experience in statistics and machine learning Interest in learning and applying the learnings to achieve the objectives. Interest in experimentation and data-driven improvisation Experience in leading/mentoring data scientists/ML engineers/scientists Hands-on knowledge of deep learning Any of the following qualifications are preferred: Knowledge of SQL/Visualization tools/Python: Pandas, Scipy suite Knowledge of Deep learning tools: Tensorflow/Keras/PyTorch/Caffe/Theano/Mxnet etc. Completion of online courses in Data Science/ML domain Participation in Data Science/ML competitions Contribution in open source projects Experience in solving real-world Data Science problems Experience in A/B testing, multi-armed bandits, controlled experiments, reinforcement learning What’s in it for you? Experience in working on billions of newly generated data points per month (many terabytes of data) using cutting-edge Data Science tools. Experience in R&D of real-time bot-human classification engine handling 1000s of request per second Work and learn as part of the cross-functional R&D team (some with PhD) building the industry leading bot-human classification engine Play a high impact role in a setting where data-driven improvements are pushed to production code on a daily basis
data science for analytics Working on various Predictive Analytics, Forecasting, Machine Learning, Text & Image Mining , Statistical Modeling, Social Network Analysis, Advanced Visualizations, Natural Language Processing and Big Data problems. The problems are in multiple domains like banking, financial, insurance, consumer and Internet companies, medical etc.
Looking for senior data science researchers. Basic Qualifications: ∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas). ∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems. ∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc). ∙Strong working knowledge of deep learning, machine learning, and statistics. - Deep domain understanding of Personalization, Search and Visual. ∙Strong math skills with statistical modelling / machine learning. ∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow. ∙Experience in using Python, statistical/machine learning libs. ∙Ability to think creatively and solve problems. ∙Data presentation skills. Preferred: ∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities. ∙Or, Publications in highly accredited journals (If available, please share links to your published work.). ∙Or, history of scaling ML/Deep learning algorithm at massively large scale.
Role: DataScientist Location: Bangalore Job description: What will you do ?? • Develop, process, cleanse and enhance data collection procedures from multiple data sources • Conduct & deliver experiments and proof of concepts to validate business ideas and potential value. • Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy. • Work closely with product teams to implement algorithms with R and/or Python. • Design and implement scalable predictive models, classifiers leveraging machine learning, data regression. • Facilitate integration with enterprise applications using APIs to enrich implementations. Ideal Characteristics? • 10+ years of experience in designing/developing industrial IT solutions • Minimum 3 years of experience in developing and deploying machine learning, deep learning, NLP solutions. • Experience with common data science toolkits, such as R, NumPy - Excellence in at least one of these is mandatory. • Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase • Should have good awareness on entire machine learning/ predictive modeling & implementation process: Model design, feature planning, system infrastructure, production setup and monitoring, and release management. • Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc. • Experience in selecting features, building and optimizing classifiers using machine learning techniques. • Prior experience with data visualization tools, such as D3.js, GGplot, etc. • Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc. • Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders. Candidate Philosophy: • Proven Ability to learn and work on latest technology, have good analytical skills and pickup faster. • Should have excellent communication, interpersonal skills and be a team player. • Should have Strong Leadership skills to drive the technical aspects of the project. • Able to act as the technical change agent in the project, mentoring the lesser experienced • Experience in building strong relationship with the Onsite Counterparts
We are looking for Data Scientists who will help us build high-quality prediction and recommendation systems to be integrated with our products. Your primary focus will be to use your quantitative knowledge, programming skills and analytical ingenuity to discover information hidden in vast amounts of data, and help businesses make smarter decisions. Responsibilities: Works to develop analytical/ data mining/ machine learning models using Python, R and other tools Gather, evaluate and document requirements, ability to build an algorithm (statistical/ data mining/ machine learning) based on requirements and specifications provided Works with data and is able to conceptualize and improvise analytical solutions to problems Ability to deploy analytical algorithms within a larger business application Ability to visualize data and results of data analysis & analytical models Requirements: Experience with statistical analysis using R and Python. Experience with Spark, ML and Java as plus Good experience in data discovery, exploration and algorithm development Experience with working on large data sets and developing scalable algorithms Hands-on experience of machine learning and data mining algorithms such as decision trees, classifiers, text mining/ NLP, clustering, and regression Exp in SAS, SPSS is a plus Knowledge of Hadoop and other distributed computing platforms Broad knowledge of data mining, NLP algorithms, machine learning algorithms and other techniques technologies Strong analytical and problem-solving skills If this sounds like something you enjoy, then do apply. We'd love to hear from you!
• Hands-on experience as a Data Scientist • Through understanding of Machine Learning and Statistical models • Experience in R and Python • Experience in one or more areas of predictive modelling, text mining, time series analysis and unsupervised learning methods • Innovative thinking in building complex learning models • Identify and extract interesting pattern from structured and unstructured data. • Experience in building state of the art solutions with structured, semi structured and unstructured data. • Collaborate with a cross-functional team including data scientists, business analysts and software engineers. • Experience with machine learning frameworks e.g., Theano, KERAS,Tensorflow • Additional programming skills like Java and Scala would be a plus.
Should be experienced in building Machine learning pipelines. Should be proficient in Python and scientific packages like pandas, numpy, scikit, matplotlib, etc. Experience with techniques such as Data mining, Distributed Computing, Applied Mathematics and Algorthims, Probablity & statistics, Strong problem solving and conceptual thinking abilities Hands on experience in Model building Building highly customized and optimized data pipelines integrating third party API’s and inhouse data sources. Extracting features from text data using tools like Scapy Deep learning for NLP using any modern framework
Job Description : If you are visionary and a statistical mastermind and are keen to make a difference in a unique way, then we are looking for you…. 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: 3 - 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!!
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.
Position: Sr. Data Scientist Location: Bangalore Experience: 4 + yrs Profile of Desired Candidate: Education Qualification: BTech Graduates from Top Tier Colleges (IITs,NITs,IIITs,BITs, etc) with good CGPAs. · Strong experience working on Algorithms, R, Excel, SQL & Python · Significant experience building and interpreting Machine Learning models on real business data, e.g. logistic regression, naïve Bayes, Random Forests, Boosted trees · Strong understanding of and experience applying statistical techniques, e.g. regularization, hypothesis testing, analytical and empirical confidence intervals, bootstrap sampling · Experience designing and conducting controlled experiments, performing statistical analysis of collected data, and presenting results to other stakeholders · Experience on Deep Learning & Neural Networks is highly preferred. · Production Level ML experience is preferred.s Core Skills: · Excellent analytical and problem-solving skills, including the ability to identify root causes and recommend solutions. · Identifies data sources, integrates multiple sources or types of data, and applies expertise within a data source in order to develop methods to compensate for limitations and extend the applicability of the data. · Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis. · Transforms formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and statistically validating the results against biases and errors.
We are building a complex Big Data product which aims to revolutionize sales prospecting by crunching billions of data points and applying sophisticated machine learning & AI algorithms. Hence, we are looking for a Data Governance Analyst to ensure that the quality of this product always stays top-notch and world class. If you love working with data, have an eye for detail and a strong adherence to quality then we’d love to hear from you. The Data Governance Analyst is a senior level position where the analyst will work under the general direction of the Chief Data Scientist and senior staff in the Data Management team. The primary responsibility is to treat data as an asset, and become the expert source for data standards and policy related questions. RESPONSIBILITIES: Manage the creation, deployment, and maturity of data governance processes and technology including master data, metadata, and data quality initiatives Identify opportunities to ensure transparent and high-quality data across multiple sources and platforms Reviews, cleans and adds business and formatting rules to every taxonomy/hierarchy in the product Database in support of long-term data governance. Develop objects within data quality tools for cleansing, de-duplicating, and other data preparation Collaborate with various teams to standardize data and ensure adherence to the data ingestion and governance standards Conduct root cause analysis and proposed improvement solutions Leverage subject matter expertise to ensure data products are understood by business user This position requires a proficient level of experienced analytical and programming capabilities, defining requirements, developing and/or maintaining computer applications/systems, and ability to meet business needs within deadlines. REQUIREMENTS: 3 - 6 years in Data analysis, data quality and data governance Proficiency with working with data (profiling, cleansing and transforming) in multiple databases Experience in setting up and managing master data, metadata, and over-all data quality Strong experience of data analysis and data management using a variety of open source tools Come with experience navigating unstructured, complex data environments Detail oriented results driven by the ability to manage multiple requirements in a dynamically changing environment Experience working with a complex big data product would be an added bonus Ability to pick up new software skills in short time frames Self-motivated and able to handle tasks with minimal supervision or questions Ability to write technical documents such as requirement specs or data standards
• Identifying and modeling the key drivers of consumer behavior using internal and external data. • Developing prediction models to deliver key business outcomes. • Problems include working on demand forecasting, demand driven supply planning etc. • Developing optimized transportation network design for Shuttl operations to drive strategic growth • Developing algorithms to predict static and dynamic schedule of Shuttl arrival times. • Presenting clear and actionable recommendations to Products and Engineering leadership. • Relentless pursuit of achieving business goals using the power of data
1. Product: - Identify important questions with the product team and answer them with data - Create a culture of measurement and metrics across the company by developing key success metrics for the product - Work with company leaders to understand product roadmap and influence/improve it using quantitative research - Be our source of bitter truth against all product assumptions 2. Sales: - Work with sales team to automate internal dashboards which help company leaders make strategic decisions - Develop reports/research based on our data that help reduce sales time - Work with our product team to build and maintain integrations with other business systems
## Responsibilities * Exp 4~8 years * Design and build the initial version of the off-line product by using Machine Learning to recommend video contents to 1M+ User Profiles. * Design personalized recommendation algorithm and optimize the model * Develop the feature of the recommendation system * Analyze user behavior, build up user portrait and tag system ## Desired Skills and Experience * B.S./M.S. degree in computer science, mathematics, statistics or a similar quantitative field with good college background * 3+ years of work experience in relevant field (Data Engineer, R&D engineer, etc) * Experience in Machine Learning and Prediction & Recommendation techniques * Experience with Hadoop/MapReduce/Elastic-Stack/ELK and Big Data querying tools, such as Pig, Hive, and Impala * Proficiency in a major programming language (e.g. C/C++/Scala) and/or a scripting language (Python/R) * Experience with one or more NoSQL databases, such as MongoDB, Cassandra, HBase, Hive, Vertica, Elastic Search * Experience with cloud solutions/AWS, strong knowledge in Linux and Apache * Experience with any map-reduce SPARK/EMR * Experience in building reports and/or data visualization * Strong communication skills and ability to discuss the product with PMs and business owners
SquadRun is a profitable SaaS startup that leverages the best of machines and humans to automate digital operations/ business processes for enterprises. We have offices in Noida and San Francisco. This position is primarily based in Noida. We combine customised workflows, workflow automation and a distributed human talent pool of stay at home moms and college students delivering guaranteed SLAs of high quality output, speed and scale, at great cost efficiency. Please see this overview deck for more context. In every business, there are digital operations/ business processes that need to be executed. We are disrupting the business process outsourcing industry and in the process solving some of the most exciting data science problems. You would need to apply the best machine learning techniques to various aspects of business process automation and help businesses perform operational work with 10X efficiency (cost, speed, quality) than existing alternatives. For example, catalog management for commerce, content moderation for social businesses, training for AI algorithms, customer onboarding for banking and insurance etc. One of the biggest challenge lies in shaping the product which can have flexible modules that can come together to scale most major workflows. We’re looking for a growth hungry early member who would like to apply data science to a real product right from the ground-up. Roles & Responsibilities You would closely work on building a start-of-the-art work automation pipelines for our platform product with the Data Science Lead: Workforce management to acquire, qualify, match, train and verify / Quality Control. Workflow engine to replicate each business process smartly with different configurations. Work automation (SquadAI) to help contractors by automating part of the workflows and ‘Humans ’in the loop machine learning to automate cognitive decisions once we have enough quality training data. Facilitate data driven experiments to derive product insights. Participate in research in artificial intelligence and machine learning applications from time to time. Background & Key traits 1+ years experience working with data intensive problems at scale from inception to business impact. Experience with modeling techniques such as generalized linear models, cluster analysis, random forests, boosting, decision trees, time-series, neural networks, deep learning etc. Experience using programming (Python/R/Scala) and SQL languages in analytical contexts. Experience with distributed machine learning and computing framework would be a plus (Spark, Mahout or equivalent). Why should you consider this seriously? We’re one of the few applications of AI/ data science that actually has a massive market and business model to create a long term valuable business rather than a short term acquisition play! In the last one year, we have built a product and solved problems for some of the largest brands in the world and tested platform at scale (processed 50+ million units of data). Our customers include Uber, Sephora, Teespring, Snapdeal, the Tata and Flipkart Group, amongst others and we have plans to grow 10x in the next 1.5 years. We are a well balanced team of experienced entrepreneurs and are backed by top investors across India and the Silicon Valley. The platform empowers college students, stay at home mothers and grey collared workers as a stable source of income for working on their smartphone (Android App Link). Our contractors earn 3x of what a typical back office BPO employee makes. For us, this is truly impactful. Every day, we see success stories such as this one - how a single mother is sustaining herself. Empowering our contractors to be financially independent is a strong part of our vision! Compensation INR 8-12 L cash + ESOP upto 4L. To Apply Download our app, go through our website, social media pages, linkedin profiles, blogs, etc. Read about our hiring framework here (Must read!). Mail cover letter and resume to email@example.com with the subject “Jr. Data Scientist @ SquadRun Inc”. In your cover letter, tell us why you are a good fit for this role!
SquadRun is a profitable SaaS startup that leverages the best of machines and humans to automate digital operations/ business processes for enterprises. We have offices in Noida and San Francisco. This position is primarily based in Noida with some travel. We combine customised workflows, workflow automation and a distributed human talent pool of stay at home moms and college students delivering guaranteed SLAs of high quality output, speed and scale, at great cost efficiency. In every business, there are digital operations/ business processes that need to be executed. We are disrupting the business process outsourcing industry and in the process solving some of the most exciting data science problems. We’re looking for a senior candidate to own and build our data science and platform product roadmap right from the ground up. You would need to apply the best machine learning techniques to various aspects of business process automation and help businesses perform operational work with 10X efficiency (cost, speed, quality) than existing alternatives. For example, catalog management for commerce, content moderation for social businesses, training for AI algorithms, customer onboarding for banking and insurance etc. One of the biggest challenge lies in shaping the product which can have flexible modules that can come together to scale most major workflows. We are looking for an early member who not only is a data science wizard but has strong product chops. Sample Workflow: Roles & Responsibilities You would closely work on building a start-of-the-art work automation pipelines for our platform product: Workforce management to acquire, qualify, match, train and verify / Quality Control. Workflow engine to replicate each business process smartly with different configurations. Work automation (SquadAI) to help contractors by automating part of the workflows and ‘Humans ’in the loop machine learning to automate cognitive decisions once we have enough quality training data. Architect & Build the work automation product layer right from the scratch by working closely with the platform engineering team. Define the long term data science platform product roadmap with focus on a strong platform layer foundation. Collaborate closely with engineering, business operations & product teams and leverage your expertise in devising appropriate measurements and metrics, designing randomized controlled experiments, architecting business intelligence tooling and tackling hard, open-ended problem, etc. Facilitate data driven experiments to derive product insights. Identify new opportunities to leverage data science to different parts of the our platform. Build a sharp data science team and culture. Background & Key traits 4+ years experience working with data intensive problems at scale from inception to business impact. Experience with modeling techniques such as generalized linear models, cluster analysis, random forests, boosting, decision trees, time-series, neural networks & deep learning. Strong communication and documentation skills. Experience using programming (Python/R/Scala) and SQL languages in analytical contexts. Experience dealing with large datasets. Advanced degree in a relevant field (preferred). Experience with distributed machine learning and computing framework would be a plus (Spark, Mahout or equivalent). Why should you consider this seriously? We’re one of the few applications of AI/ data science that actually has a massive market and business model to create a long term valuable business rather than a short term acquisition play! In the last one year, we have built a product and solved problems for some of the largest brands in the world and tested platform at scale (processed 50+ million units of data). Our customers include Uber, Sephora, Teespring, Snapdeal, the Tata and Flipkart Group, amongst others and we have plans to grow 10x in the next 1.5 years. We are a well balanced team of experienced entrepreneurs and are backed by top investors across India and the Silicon Valley. The platform empowers college students, stay at home mothers and grey collared workers as a stable source of income for working on their smartphone (Android App Link). Our contractors earn 3x of what a typical back office BPO employee makes. For us, this is truly impactful. Every day, we see success stories such as this one - how a single mother is sustaining herself. Empowering our contractors to be financially independent is a strong part of our vision! Compensation INR 20-28L cash + ESOP upto 30L. To Apply Download our app, go through our website, social media pages, linkedin profiles, blogs, etc. Read about our hiring framework here. (Must read!). Mail cover letter and resume to firstname.lastname@example.org with the subject “Data Science & Product Lead @ SquadRun”. In your cover letter, tell us why you are a good fit for this role!
To introduce myself I head Global Faculty Acquisition for Simplilearn. About My Company: SIMPLILEARN is a company which has transformed 500,000+ carriers across 150+ countries with 400+ courses and yes we are a Registered Professional Education Provider providing PMI-PMP, PRINCE2, ITIL (Foundation, Intermediate & Expert), MSP, COBIT, Six Sigma (GB, BB & Lean Management), Financial Modeling with MS Excel, CSM, PMI - ACP, RMP, CISSP, CTFL, CISA, CFA Level 1, CCNA, CCNP, Big Data Hadoop, CBAP, iOS, TOGAF, Tableau, Digital Marketing, Data scientist with Python, Data Science with SAS & Excel, Big Data Hadoop Developer & Administrator, Apache Spark and Scala, Tableau Desktop 9, Agile Scrum Master, Salesforce Platform Developer, Azure & Google Cloud. : Our Official website : www.simplilearn.com If you're interested in teaching, interacting, sharing real life experiences and passion to transform Careers, please join hands with us. Onboarding Process • Updated CV needs to be sent to my email id , with relevant certificate copy. • Sample ELearning access will be shared with 15days trail post your registration in our website. • My Subject Matter Expert will evaluate you on your areas of expertise over a telephonic conversation - Duration 15 to 20 minutes • Commercial Discussion. • We will register you to our on-going online session to introduce you to our course content and the Simplilearn style of teaching. • A Demo will be conducted to check your training style, Internet connectivity. • Freelancer Master Service Agreement Payment Process : • Once a workshop/ Last day of the training for the batch is completed you have to share your invoice. • An automated Tracking Id will be shared from our automated ticketing system. • Our Faculty group will verify the details provided and share the invoice to our internal finance team to process your payment, if there are any additional information required we will co-ordinate with you. • Payment will be processed in 15 working days as per the policy this 15 days is from the date of invoice received. Please share your updated CV to get this for next step of on-boarding process.
Factspan is a pure play analytics company. We provide the expertise services that organizations need to establish their own analytics centre of excellence. We understand the complexities of running a business. Our dedicated team of data scientists and consultants partner with the clients to provide analytics tools and solutions which organizations need every day to take data driven decisions. Our management leaders are former Directors and Sr. Managers from premier organizations like University of Michigan, Fidelity, Amazon and Hotwire. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors. For more details and updates please refer to: www.factspan.com
Job Role Develop and refine algorithms for machine learning from large datasets. Write offline as well as efficient runtime programs for meaning extraction and real-time response systems. Develop and improve Ad-Targeting based on various criteria like demographics, location, user-interests and many more. Design and develop techniques for handling real-time budget and campaign updates. Be open to learning new technologies. Collaborate with team members in building products Skills Required MS/PhD in Computer Science or other highly quantitative field Minimum 8 - 10 yrs of hands on experience in different machine-learning techniques Strong expertise in Big-data processing (Combination of the technologies you should be familiar with Kafka, Storm, Logstash, ElasticSearch, Hadoop, Spark) Strong coding skills in at-least one object-oriented programming language (e.g. Java, Python) Strong problem solving and analytical ability Prior 3+ year experience in advertising technology is preferred
Transporter is an AI-enabled location stack that helps companies improve their commerce, engagement or operations through their mobile apps for the next generation of online commerce
JSM is a data sciences company, founded in 2009 with the purpose of helping clients make data driven decisions. JSM specifically focuses on unstructured data. It is estimated that 90% of all data generated is unstructured and still mostly under-utilized for actionable insights largely due to high costs involved in speedily mining these large volumes of data. JSM is committed to creating cost effective innovative solutions in pursuit of highly actionable, easy to consume insights with a clearly defined ROI
Fly NavaTechnologies is a start-up organization whose vision is to create the finest airline software for distinct competitive advantages in revenue generation and cost management. The software products have been designed and created by veterans of the airline and airline IT industry, to meet the needs of this special customer segment. The software will be constructive by innovative approach to age old practices of pricing, hedging, aircraft induction and will be path breaking to use, encouraging the users to rely and depend on its capabilities. Wewill leverage our competitive edge by incorporating new technology, big data models, operations research and predictive analytics into software products, a means of creating interest and creativity while using the software. This interest and creativity will increase potential revenues or reduce costs considerably, thereby creating a distinct competitive differentiation. FlyNava is convinced that when airline users create that differentiation easily, their alignment to the products will be self-motivated rather than mandated. High level of competitive advantage will also flow with the following All the products, solutions and services will be Copyright. FlyNava will benefit with high IPR value including its base thesis/research as the sole owners. Existing product companies are investing in other core areas which our business areas are predominantly manual process Solutions are based on master thesis which need 2-3 years to complete and more time to make them relevant for software development. Expertise in these areas are far and few. Responsible for Collecting, Cataloguing, Filtering of data and Benchmarking solutions - Contribute to model related Data Analytics and Reporting. - Contribute to Secured Software Release activities. Education & Experience : - B.E/B.Tech or M.Tech/MCA in Computer Science/ Information Science / Electronics & Communication - 3 - 6 Years of experience Must Have : - Strong in Data Analytics via Pyomo (for optimization) Scikit-learn (for small data ML algorithms) MLlib (Apache Spark big-data ML algorithms) - Strong in representing metrics and reports via json - Strong in scripting with Python - Familiar with Machine learning, pattern recognition Algorithms - Familiar with Software Development Life Cycle - Effective interpersonal skills Good to have : Social analytics Big data
We are a startup looking to redefine how education is perceived and as such believe in a strong independent motivation to learn new things and we look for the same in our employees. The job of the senior developer will bleed in to all aspects of the product cycle not limited to his/her area of expertise and will be expected to have the ability to adapt and learn rapidly on very short iterations of product cycles. Since we are in the early stages we will offer exciting ESOPs to our early employees as well. Cover letters are so old fashioned. Show us who you are with a cover-letter-video. Upload your video to youtube or vimeo. We look forward to meeting you.