Skills Required : SQL, Python Data Science Stack (strongly preferred), Machine Learning and Statistics, Data Visualization , A/B Testing, Bandit problems, Recommendation systems, Reinforcement learning Roles & Responsibilities · Ability to work independently to apply technical skills to solve a business objective · Exploratory data analysis employing large data sets involving visualization and basic statistical techniques to develop intuitions and identify key variables in data science projects · Data extraction and joining data from multiple sources; SQL is a must; Python preferred · Strong familiarity and experience with Machine Learning algorithms; The Python Data Science stack is ideal (e.g. sklearn, etc); Regression, Clustering, SVM, Decision Trees, DNNs, Recommendation Algorithms, etc. · Specific experience sought: real-world A/B testing, multi-armed bandit algorithms, causal inference · Ability to read and apply, with guidance, cutting edge Machine Learning research papers to solve business problems
We provide product & data engineering solutions using open source Big Data stacks, Machine Learning and advanced custom visualizations. Additionally, we are building the following products: InApptext : Spot errors in UI screens and text. Provide feedback, collaborate with developers and make changes to user interface text instantaneously. What we are looking for: Position : Senior Server Side Engineer Experience : 3 to Six or more years Location : Hyderabad, India Qualification : BTECH/BE in CSE or equivalent Skills Required: Server side developers with good server side development experience in Java AND/OR Python Exposure to Data Platforms (Cassandra, Spark, Kafka) will be a plus Interested in Machine Learning will be a plus Good to great problem solving and communication skill Ability to deliver in an extremely fast paced development environment Ability to handle ambiguity Should be a good team player Job Responsibilities : Learn the technology area where you are going to work Develop bug free, unit tested and well documented code as per requirements Stringently adhere to delivery timelines Provide mentoring support to Software Engineer AND/ OR Associate Software Engineers Any other as specified by the reporting authority
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.
We are looking for a Data Scientist at India's fastest growing Coupons and Deals Website, to harness the power of analytics to drive the understanding, progression and user-engagement of our product. Currently we have 60L uniques and growing every month. The ideal candidate will have a background in Maths, Statistics, Computer Science and/or related Quantitative fields, and will have experience working with large data stores, statistical modeling, and will have some experience building software. Responsibilities: - Apply your expertise in quantitative analysis, data mining, and presentation of data to see beyond numbers and understand how users interact with products - Partner with Product team to solve problems, improve the product based on data, and identify trends and opportunities - Design and implement reporting and metrics that track and monitor the performance of our products, the quality of our data, and overall health of the business - Build data sets to empower operational and exploratory analysis - Automate analyses - Design and evaluate experiments monitoring product metrics, and understand root causes of changes in metrics - Build and analyze dashboards and reports - Influence product teams through presentation of findings - Communicate the state of business, experiment results, etc. to product and management teams - Understand ecosystems, user behaviors, and long-term trends - Identify levers to move key metrics - Evaluate and define metrics - Build models of user behaviors for analysis and powering production systems. - Identify and correct for any biases or errors in our data sets If you're looking for your most challenging role yet, this is truly the place for you. Your new home - http://blog.grabon.in/grabon-new-office/ Visit us at - http://www.grabon.in/