About Us:World's leading consumer companies are all internet / technology / new age companies - Amazon (retail), Airbnb / Oyo (Hospitality), Priceline (travel), Netflix / Spotify (Entertainment). The only sector, where traditional companies are still the largest ones is restaurants. McDonald's market cap is 130 BN USD. With Food Delivery growing exponentially worldwide, there is an opportunity to build the world's most valuable restaurant company on the internet, superfast. We have the formula to be that company.Today, we can safely say we are the world's largest delivery only / internet restaurant company, and by a wide margin. At 3000+ individual internet restaurants, in 35 Indian cities, 3 in UAE, 17 + in Indonesia and 2 in the UK and expanding further, we have indeed come a long way. It's still Day 1, but we know we are onto something very, very big. We have a once-in-a-lifetime opportunity to change a 500-year-old industry.For more detail on how we are changing the restaurant industry from the core, using the power of the internet, please refer below. It's important reading if you want to know our company better and really explore working with us:https://medium.com/@jaydeep_barman/how-to-build- 1000-restaurants-in-24-months-the-rebel-method- cb5b0cea4dc8Role description:#Business Analysis #Data Analytics #Data Management #Advanced ExcelResponsibility:- Solve Specific Business Problems through answers driven by Data.- What should be the ideal discount- How can business trends be predicted accurately using prior data- What can be the portfolio mix for Maximum Margin- Cost benefit analysis of projectsAttitude:- An ace problem solver using Data- Great tenacity to fight till an answer is found- Gets a kick out of solving a problem and not just analysis for analysis sake- Displays complete ownership and works well with functions/peopleSkills / Experience:- Minimum 1-3 years- Experience in Business Analytics role- Knowledge of Advanced excel is mandatory- Experience of having worked on real world consumer facing sectors- Knowledge of data modelling techniques like time series forecasting, regression, classification and clustering- Hands on experience in SQL, R, PythonThe Rebel Culture:Finally, but most importantly, Rebel is not a usual workplace. The following slides will give you a sense of our culture, how Rebel conducts itself and who will fit into the company. Please go through it before you make your mind up. Its not everyone's cup of tea.https://www.slideshare.net/JaydeepBarman/culture-rebel
Come work with a growing consumer market research team that is currently serving one of the biggest FMCG companies in the world. Our client works with global brands and creates projects that are user-centric. They build cost-effective and compelling product stories that help their clients gain a competitive edge and growth in their brand image. Their team of experts consists of academicians, designers, startup specialists and experts are working for clients across 12 countries targeting new markets and solutions with an excellent understanding of end-users. They work with global brands from FMCG, Beauty and Hospitality sectors, namely Unilever, Lipton, Lakme, Loreal, AXE etc. who have chosen them for a long-term relationship, depending on their insights, consumer research, storytelling and contetnt experience. The founder is a design and product activation expert with over 10 years of impact and over 300 completed projects in India, UK, South Asia and USA. As a Data Scientist, you will help to deliver quantitative consumer primary market research through Survey. What you will do: Handling Survey Scripting Process through the use of survey software platform such as Toluna, QuestionPro, Decipher. Mining large & complex data sets using SQL, Hadoop, NoSQL or Spark. Delivering complex consumer data analysis through the use of software like R, Python, Excel and etc such as Working on Basic Statistical Analysis such as:T-Test &Correlation Performing more complex data analysis processes through Machine Learning technique such as: Classification Regression Clustering Text Analysis Neural Networking Creating an Interactive Dashboard Creation through the use of software like Tableau or any other software you are able to use. Working on Statistical and mathematical modelling, application of ML and AI algorithms What you need to have: Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics, economics) or equivalent experience. An opportunity for one, who is eager of proving his or her data analytical skills with one of the Biggest FMCG market player.
Ganit Inc. is the fastest growing Data Science & AI company in Chennai. Founded in 2017, by 3 industry experts who are alumnus of IITs/SPJIMR with each of them having 17+ years of experience in the field of analytics. We are in the business of maximising Decision Making Power (DMP) for companies by providing solutions at the intersection of hypothesis based analytics, discovery based AI and IoT. Our solutions are a combination of customised services and functional product suite. We primarily operate as a US-based start-up and have clients across US, Asia-Pacific, Middle-East and have offices in USA - New Jersey & India - Chennai. Started with 3 people, the company is fast growing with 100+ employees 1. What do we expect from you - Should posses minimum 2 years of experience of data analytics model development and deployment - Skills relating to core Statistics & Mathematics. - Huge interest in handling numbers - Ability to understand all domains in businesses across various sectors - Natural passion towards numbers, business, coding, visualisation 2. Necessary skill set: - Proficient in R/Python, Advanced Excel, SQL - Should have worked with Retail/FMCG/CPG projects solving analytical problems in Sales/Marketing/Supply Chain functions - Very good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc. - Ability to choose the right model for the right data and translate that into code in R, Python, VBA (Proven capabilities) - Should have handled large datasets and with through understanding of SQL - Ability to handle a team of Data Analysts 3. Good to have skill set: - Microsoft PowerBI / Tableau / Qlik View / Spotfire 4. Job Responsibilities: - Translate business requirements into technical requirements - Data extraction, preparation and transformation - Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organisation - Create and implement data models - Interact with clients for queries and delivery adoption 5. Screening Methodology - Problem Solving round (Telephonic Conversation) - Technical discussion round (Telephonic Conversation) - Final fitment discussion (Video Round
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
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
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.