Data may be the new oil, but it takes just as much refining as crude oil. Our data intelligence platform is used by over 150 leaders to make better, data-driven decisions on everything from tracking national programs to pinpointing where to open the next school, health center or even ice cream store. However, garbage in is garbage out! Our platform runs on data, but one of our biggest challenges is the incoming data's lack of structure and internal standard practices around such diverse datasets. It's critical that we move beyond these challenges so we can extract key insights from the data and deliver them to our partners.As a Senior Data Analyst at SocialCops, you'll independently drive data structuring and analysis for our partners or internal product teams' problem statements. You will also play a key role in scaling internal processes, writing libraries that can be used across projects, and helping scale our deployments. You will find yourself independently leading project deployments and figuring out problem statements. You'll explore and analyze data, set up data pipelines, work on algorithms, and showcase insights using data visualizations, all in close collaboration with our engineering teams. You will be the gatekeeper of our data and help shape how SocialCops helps our partners use data to drive better decisions. RESPONSIBILITIES* Scope the Problem: Successful analysis can involve anything from building a Bayesian model to choosing the right visualization. Figure out what your user is truly looking for and what analysis will address the user's problems.* Explore Data: Use statistical methods to analyze and find trends or correlations in the data.* Wrangle Data: Use R and Python to structure data and help maintain automated data streams. Employ internal frameworks or create new frameworks to clean data for any given analysis.* Create Data Streams: Use our internal tool to schedule your scripts and keep data flowing regularly into our platform.* Write Algorithms: Write algorithms that can help solve our partners' problems or help our product teams understand what's working or not working for their product using various models.* Visualize Data: Show off your analysis by building insightful, beautiful visualizations on our data visualization tool.* Scale Our Work: Help other members of the Research and Analysis Team analyze data better by creating libraries, designing frameworks, building the right documentations, enforcing good practices, and more.* Interact with the Community: Write blogs, attend conferences and deliver talks about your work for the data community.* Prototype: Brainstorm ideas and create prototypes of future tools and products.REQUIREMENTS* Entrepreneurial: You believe in figuring out problems, solving them and confronting, not just finding, challenges.* First Principles Thinker. You break down a problem into its logical components and figure out which ones to prioritize, even if the client tells you otherwise.* Systems Thinker: You are interested in understanding interaction between a system's components, automating tasks and getting them to work at scale.* R or Python Expert: You are experienced at writing code and using Git/Github for version control. You also realize the importance of documenting your code and knowledge sharing, through tools such as Rmarkdown or Jupyter notebooks, with team members. If you've written a library/package, you get brownie points!* Experienced: You have already gotten your hands dirty with work as a Data Scientist or Product Analyst at product companies, or you've been a Decision Scientist or Senior Data Analyst at a data consulting organization.About SocialCopsSocialCops is a data intelligence company that is empowering leaders in organizations globally including the United Nations & Unilever. Our platform powers over 150 organizations across 28 countries. As a pioneering tech startup, SocialCops was recognized in the list of Technology Pioneers 2018 by World Economic Forum and by the New York Times in the list of 30 global visionaries. We were also part of the Google Launchpad Accelerator 2018. Aasaan jobs named SocialCops as one of the best Indian startups to work for in 2018.Read more about our work and case studies: https://socialcops.com/case-studies/Watch our co-founder's TEDx talk on how big data can influence decisions that matter: https://www.youtube.com/watch?v=C6WKt6fJisoWant to know how much impact you can drive in under a year at SocialCops? See our 2017 year in review: https://socialcops.com/2017/For more information on our hiring process, check out our blog: https://blog.socialcops.com/inside-sc/team-culture/interested-joining-socialcops-team-heres-need/
-Precily AI: Automatic summarization, shortening a business document, book with our AI. Create a summary of the major points of the original document. AI can make a coherent summary taking into account variables such as length, writing style, and syntax. We're also working in the legal domain to reduce the high number of pending cases in India. We use Artificial Intelligence and Machine Learning capabilities such as NLP, Neural Networks in Processing the data to provide solutions for various industries such as Enterprise, Healthcare, Legal.
Are you passionate about discovering insights hidden in vast amounts of data? Does your curiosity lead you to play with data to decipher an observed pattern? Do you constantly think about how machine learning, statistical modelling and optimization methodologies can help create top-notch consumer experience? If yes, Data Science team at Shuttl is a perfect fit for you. Key Deliverables :- 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 Requirements :- 4+ years of experience.- Ability to crisply define the business problem and translate it into analytical/empirical problem- Experience in building ML models or statistical models in R or Python- Knowledge of underlying mathematical foundations of statistical inference/ forecasting/ Optimization- Prior experience on network optimization problems if preferred.- Proficiency in Python, CPLEX, SQL, NoSQL, Cassandra
FarmGuide is a data driven tech startup aiming towards digitizing the periodic processes in place and bringing information symmetry in agriculture supply chain through transparent, dynamic & interactive software solutions. We, at FarmGuide (https://angel.co/farmguide) help Government in relevant and efficient policy making by ensuring seamless flow of information between stakeholders.Job Description :We are looking for individuals who want to help us design cutting edge scalable products to meet our rapidly growing business. We are building out the data science team and looking to hire across levels.- Solving complex problems in the agri-tech sector, which are long-standing open problems at the national level.- Applying computer vision techniques to satellite imagery to deduce artefacts of interest.- Applying various machine learning techniques to digitize existing physical corpus of knowledge in the sector.Key Responsibilities :- Develop computer vision algorithms for production use on satellite and aerial imagery- Implement models and data pipelines to analyse terabytes of data.- Deploy built models in production environment.- Develop tools to assess algorithm accuracy- Implement algorithms at scale in the commercial cloudSkills Required :- B.Tech/ M.Tech in CS or other related fields such as EE or MCA from IIT/NIT/BITS but not compulsory. - Demonstrable interest in Machine Learning and Computer Vision, such as coursework, open-source contribution, etc.- Experience with digital image processing techniques - Familiarity/Experience with geospatial, planetary, or astronomical datasets is valuable- Experience in writing algorithms to manipulate geospatial data- Hands-on knowledge of GDAL or open-source GIS tools is a plus- Familiarity with cloud systems (AWS/Google Cloud) and cloud infrastructure is a plus- Experience with high performance or large scale computing infrastructure might be helpful- Coding ability in R or Python. - Self-directed team player who thrives in a continually changing environmentWhat is on offer :- High impact role in a young start up with colleagues from IITs and other Tier 1 colleges- Chance to work on the cutting edge of ML (yes, we do train Neural Nets on GPUs) - Lots of freedom in terms of the work you do and how you do it - Flexible timings - Best start-up salary in industry with additional tax benefits
1. The candidate will work on building RNN based speech recognition systems 2. The candidate will work on building NLP based solution suite for speech data analytics 3. Adhoc Python coding will be required on a regular basis to support the application and data science team.
Drive the creation of new models and capabilities that will leapfrog traditional bureau-based modelling done at most major financial institutions leveraging a wide array of data from both traditional and non-traditional sources. ● Acquire deep understanding of MSME lending domain ● Perform data integration, manipulation, and querying for purposes of reporting and more sophisticated analytics ● Engage in regular problem solving sessions with overall leadership team to present findings and refine their own analytics plan. ● Manage data analysis to develop fact-based recommendations for innovation projects. ● Mine Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions. ● Remain current on new developments in data analytics, Big Data, predictive analytics, machine learning and technology
Job Description: Data Science Analyst/ Data Science Senior Analyst Job description KSTYCH is seeking a Data Science Analyst to join our Data Science team. Individuals in this role are expected to be comfortable working as a software engineer and a quantitative researcher, should have a significant theoretical foundation in mathematical statistics. The ideal candidate will have a keen interest in the study of Pharma sector, network biology, text mining, machine learning, and a passion for identifying and answering questions that help us build the best consulting resource and continuous support to other teams. Responsibilities Work closely with a product scientific, medical, business development and commercial to identify and answer important healthcare/pharma/biology questions. Answer questions by using appropriate statistical techniques and tools on available data. Communicate findings to project managers and team managers. Drive the collection of new data and the refinement of existing data sources Analyze and interpret the results of an experiments Develop best practices for instrumentation and experimentation and communicate those to other teams Requirements B. Tech, M.Tech, M.S. or Ph.D. in a relevant technical field, or 1+ years experience in a relevant role Extensive experience solving analytical problems using quantitative approaches Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources A strong passion for empirical research and for answering hard questions with data A flexible analytic approach that allows for results at varying levels of precision Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Fluency with at least one scripting language such as Python or PHP Familiarity with relational databases and SQL Experience working with large data sets, experience working with distributed computing tools a plus (KNIME, Map/Reduce, Hadoop, Hive, etc)
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.
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