Essenvia is building online platform to reduce the time and cost of bringing Medical Devices to market, and to streamline the Medical Device regulatory pathway. We are looking for a savvy Data Engineer to join our team based out of Bangalore. The hire will be responsible for creating proprietary data set for machine learning algorithms using various conventional and non conventional data sets. The Data Engineer will support our data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of becoming a key member in designing the data architecture to support our next generation of products and data initiatives and must be able to work on tight time line in start-up culture Responsibilities --------------------- Create and maintain optimal data pipeline architecture, Assemble large, complex data sets using various data sets. Transform the raw data as per functional requirements Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and NoSQL technologies. Keep the data separated and secured across multiple data centres and AWS regions. Work with data scientists to strive for greater functionality in our data systems. Mandatory Skills --------------------- Must have advanced working SQL knowledge and experience working with relational databases, and NoSQL Databases as well as working familiarity with a variety of databases. Must have strong exposure to database architectures and design Must have knowledge of algorithm and data structure Must have programming Knowledge in Python and Java Must have knowledge of Text mining/ Text extraction/ Regex matching Must have Knowledge of OCR Desirable Skills ----------------- Knowledge of Elastic search Knowledge of NLP Knowledge of cloud based architecture
Job Functions: Sales Business Development Responsibilities: Identify decision makers within targeted leads to begin sales process Penetrate all targeted accounts and radiate sales from within client base Collaborate with Account Managers to determine necessary strategic sales approaches Create and deliver qualified opportunities to Account Managers where appropriate Maintain and expand the company's database of prospects Set up and deliver sales presentations, product/service demonstrations, and other sales actions Assist in creating RFP responses to potential clients Ensure all data is captured, tracked and qualified leads are entered into the CRM leads management system Develop case studies Reports on sales activity and forecast to sales management Required Skills: Excellent presentation and listening skills Previous experience as an Inside Sales Lead preferred Good oral and written communication skills 1-3 yrs. sales experience. Inside sales preferably SME Sales experience desired Must possess strong business acumen, be independently motivated, assertive and goal oriented
Job Overview :We are looking for an experienced Data Science professional to join our Product team and lead the data analytics team and manage the processes and people responsible for accurate data collection, processing, modelling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our clients. The incumbent will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modelling, predictive modelling, natural language processing and analytical techniques to interpret key findings.Responsibilities for Analytics Manager :- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.- Design and build technical processes to address business issues.- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.- Examine, interpret and report results to stakeholders in leadership, technology, sales, marketing and product teams.- Develop and implement quality controls and standards to ensure quality standards- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.Qualifications for Analytics Manager :- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple cloud-based data sources- Strong SQL skills, ability to perform effective querying- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.- Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.- Experience working with and creating databases and dashboards using all relevant data to inform decisions.- Strong problem solving, quantitative and analytical abilities.- Strong ability to plan and manage numerous processes, people and projects simultaneously.- Excellent communication, collaboration and delegation skills.- We- re looking for someone with at least 5 years of experience in a position monitoring, managing and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs :- Strong programming skills with querying languages: R, Python etc.- Experience with big data tools like Hadoop- Experience with data visualization tools: Tableau, d3.js, etc.- Experience with Excel, Word, and PowerPoint.