DeepIntent: DeepIntent is a marketing technology company that helps healthcare brands strengthen communication with patients and healthcare professionals by enabling highly effective and performant digital advertising campaigns. Our healthcare technology platform, MarketMatch™, connects advertisers, data providers, and publishers to operate the first unified, programmatic marketplace for healthcare marketers. The platform’s built-in identity solution matches digital IDs with clinical, behavioral, and contextual data in real-time so marketers can qualify 1.6M+ verified HCPs and 225M+ patients to find their most clinically-relevant audiences, and message them on a one-to-one basis in a privacy compliant way. Healthcare marketers use MarketMatch to plan, activate, and measure digital campaigns in ways that best suit their business, from managed service engagements to technical integration or self-service solutions. DeepIntent was founded by Memorial Sloan Kettering alumni in 2015 and acquired by Propel Media, Inc. in 2017. We proudly serve major pharmaceutical and Fortune 500 companies out of our offices in New York, California, and India. Learn more about what we do on our website; learn about our company and culture on Glassdoor. Title: Data Analyst The Data Analyst will be located in Pune, India and will be working closely with our Analytics team in New York City. They will work with complex datasets and deliver valuable insights by using mathematical applications and modelling along with standardized and custom reporting to the business and clients.They will work with other teams in order to provide solutions to the clients. They will have a deep understanding of the collection of our databases and architecture. An ideal Data Analyst is someone who is passionate about working with Datasets and has excellent problem solving and analytical skills. Key Responsibilities of a Data Analyst: Mine Datasets to provide valuable insights and provide solutions Prepare custom reports and Analyses using statistical applications to help our clients and internal teams to optimize their performance Work with other teams to understand the analysis and reporting needs of the clients Help translate the data analysis to technical/non technical clients Perform basic QA of your own work along with evaluating the team's work Design and deliver reports/insights for clients as needed using state-of-the-art reporting tools An Ideal Data Analyst : Has a great passion for understanding of the digital advertising landscape Has a desire to work in a rapidly growing and ever-changing startup Has time management skills and can prioritize projects and deliver results Is a strong communicator with the ability to present analyses Is open to working on a diverse range of projects Requirements for a Data Analyst: Bachelor's Degree in a technical or mathematical discipline 1-3 years of experience in working with datasets Practical experience using Linux Experience working with job scheduling tools such as CRON and Airflow Excellent Problem solving and analytical skills Preferred experience at a DSP or Programmatic Company Quantitative skills and the ability to draw insights from extremely large datasets Data visualization and presentation skills Strong knowledge of SQL expected Python experience preferred Is a strong communicator with the ability to present analyses
Job Description: Roles & Responsibilities: · You will be involved in every part of the project lifecycle, right from identifying the business problem and proposing a solution, to data collection, cleaning, and preprocessing, to training and optimizing ML/DL models and deploying them to production. · You will often be required to design and execute proof-of-concept projects that can demonstrate business value and build confidence with CloudMoyo’s clients. · You will be involved in designing and delivering data visualizations that utilize the ML models to generate insights and intuitively deliver business value to CXOs. Desired Skill Set: · Candidates should have strong Python coding skills and be comfortable working with various ML/DL frameworks and libraries. · Hands-on skills and industry experience in one or more of the following areas is necessary: 1) Deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs) 2) Machine Learning (Regression, Random Forests, SVMs, K-means, ensemble methods) 3) Natural Language Processing 4) Graph Databases (Neo4j, Apache Giraph) 5) Azure Bot Service 6) Azure ML Studio / Azure Cognitive Services 7) Log Analytics with NLP/ML/DL · Previous experience with data visualization, C# or Azure Cloud platform and services will be a plus. · Candidates should have excellent communication skills and be highly technical, with the ability to discuss ideas at any level from executive to developer. · Creative problem-solving, unconventional approaches and a hacker mindset is highly desired.