About Us: We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB. Functional Experience: Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms 2+ years of data science experience working with large datasets Expertise in Python packages like pandas, numPy, sklearn, matplotlib, seaborn, keras and tensorflow Expertise in Big Data technologies like Hadoop, Cassandra and PostgreSQL Expertise in Cloud computing on AWS with EC2, AutoML, Lambda and RDS Good knowledge of Machine Learning and Statistical time series analysis (optional) Unparalleled logical ability making you the go to guy for all things related to data You love coding like a hobby and are up for a challenge! Cultural: Assume a strong sense of ownership of analytics : Design, develop & deploy Collaborate with senior management, operations & business team Ensure Quality & sustainability of the architecture Motivation to join an early stage startup should go beyond compensation
Take end-to-end ownership of a high impact data science project from formulation, planning, architecting different solution approaches, implementation at scale, measure and deliver. Partner with different stakeholders across Product, Analytics and Engineering teams to deliver world class data science products. Demonstrate and drive deep technical expertise in solving real world retail business problems through the application of machine learning. Act as an SME on the floor and help build data science capabilities Requirement: Proven track record of successful data science deliverables preferably in Automotive/ logistics/e-commerce or other domains Very strong background and theoretical foundation in machine learning & advanced statistical modeling concepts Proficiency in Python, R, Hive, Spark or related tools for model building Excellent problem solving & CS fundamental skills (theory, algorithms, data structures) Experience handling a wide variety of data of large volumes Experience collaborating with a team of data scientists in developing and delivering scalable enterprise level machine learning products/solutions Ability to collaborate in a global environment Essential for candidate: 3-4 years of experience in Data Science BE / B Tech / M E / M Tech in Computer Science/ Engineering, Mathematics, Statistics, or another quantitative field. Experience querying databases and using statistical computer languages (R, Python. etc) to manipulate data and draw insights from large data sets. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, etc. Knowledge of advanced Excel and SQL for data analysis. Experience with any data visualization tool : ggplot2/ matplotlib / seaborn / D3.js / Tableau Exposure to Deep Learning techniques like LSTM / GRU / RNN / CNN and NLP techniques is a plus Excellent written and verbal communication skills for coordinating across teams.
About Us upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. upGrad was awarded the Best Tech for Education by IAMAI for 2018-19 upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought- after startups in India upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany. We were also covered by the Financial Times along with other disruptors in Ed-Tech upGrad is the official education partner for Government of India - Startup India program Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning Role Summary Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company. Roles & Responsibilities 3+ years of experience in analytics, data science, machine learning or comparable role Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline Experience in building and deploying Machine Learning models in Production systems Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders Comfortable dealing with ambiguity and competing objectives Skills Required Experience in Text Analytics, Natural Language Processing Advanced degree in Data Science/Data Analytics or Math/Statistics Comfortable with data-visualization tools and techniques Knowledge of AWS and Data Warehousing Passion for building data-products for Production systems - a strong desire to impact the product through data-science technique
Responsibilities Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data. Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems. Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social media Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis. Define the preprocessing or feature engineering to be done on a given dataset, data augmentation pipelines, training models and tuning their hyperparameters, analyzing the errors of the model and designing strategies to overcome them Selecting features, building and optimizing classifiers using machine learning techniques Extending the company’s data with third party sources of information when needed Creating automated anomaly detection systems and constant tracking of its performance Skills and Qualifications Bachelors in mathematics, statistics or computer science or a related field; Masters or PHD degree preferred. Experience with one or two of the following: Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory and databases Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai) Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud Experience with building and deploying predictive and prescriptive analytics models Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets. Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues. Strong communication and interpersonal skills
We are Still Hiring!!! Dear Candidate, This email is regarding open positions for Data Engineer Professionals with our organisation CRMNext. In case, you find the company profile and JD matching your aspirations and your profile matches the required Skill and qualifications criteria, please share your updated resume with response to questions. We shall reach you back for scheduling the interviews post this. About Company: Driven by a Passion for Excellence Acidaes Solutions Pvt. Ltd. is a fast growing specialist Customer Relationship Management (CRM) product IT company providing ultra-scalable CRM solutions. It offers CRMNEXT, our flagship and award winning CRM platform to leading enterprises both on cloud as well as on-premise models. We consistently focus on using the state of art technology solutions to provide leading product capabilities to our customers. CRMNEXT is a global cloud CRM solution provider credited with the world's largest installation ever. From Fortune 500 to start-ups, businesses across nine verticals have built profitable customer relationships via CRMNEXT. A pioneer of Digital CRM for some of the largest enterprises across Asia-Pacific, CRMNEXT's customers include global brands like Pfizer, HDFC Bank, ICICI Bank, Axis Bank, Tata AIA, Reliance, National Bank of Oman, Pavers England etc. It was recently lauded in the Gartner Magic Quadrant 2015 for Lead management, Sales Force Automation and Customer Engagement. For more information, visit us at www.crmnext.com Educational Qualification: B.E./B.Tech /M.E./ M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory) 60% in Xth, XIIth /diploma, B.E./B.Tech/M.E/M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory) All education should be regular (Please Note - Degrees through Distance learning/correspondence will not consider) Exp level- 2 to 5 yrs Location-Andheri (Mumbai) Technical expertise required: 1)Analytics experience in the BFSI domain is must 2) Hands on technical experience in python, big data and AI 3) Understanding of datamodels and analytical concepts 4) Client engagement : Should have run in past client engagements for Big data/ AI projects starting from requirement gathering, to planning development sprints, and delivery Should have experience in deploying big data and AI projects First hand experience on data governance, data quality, customer data models, industry data models Aware of SDLC. Regards,Deepak SharmaHR Team
Data AnalystReporting to Head of Analytics, you are someone who excels at crunching data and using it for generating business insights. As a data-loving member of the team, you will serve as an analytics expert and help the company’s leaders make better decisions.Job Responsibilities:• Develop and automate reports, iteratively build and prototype dashboards to provide insights for solving the company’s analytical needs• Help answer specific business questions by writing a clear, usable project plan and executing with minimal guidance• Support maintenance and up-gradation of an end-to-end Analytics Platforms that connects data systems and business intelligence (BI) systems• Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, and insights• Research and analyze key business drivers, trends and operating metricsRequired Qualifications: • BS Degree in a quantitative discipline (e.g. computer science, mathematics, statistics, economics)• 3 plus years of relevant experience in analytics at a tech / SaaS / consulting company• Extensive experience with articulating business questions, pulling data from datasets (SQL) and using new age BI tools (e.g. Tableau, Data Studio) to arrive at an answer• Demonstrated understanding of statistical modeling techniques; ability to effectively influence and communicate cross-functionally across all levels• Ability to consistently deliver quality outputs in a fast-paced environment, while working with tight deadlines• Extremely well-organized and capable of handling multiple projects and ad-hoc requests simultaneously
The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.
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)
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.