2 Mmx Jobs

Company Description At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. Were fueled by our vision to create a healthier world. How Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES: Work on sales force effectiveness projects like Field force sizing, Targeting, Alignment, Call planning, Incentive Compensation (IC), Dashboard reporting for pharma clients , Test & Control Analysis, MMX Develop SQL queries based on business rules and develop Tableau dashboards based on defined KPIs Understand Pharma commercial data sets like Patient claims data, Rx, SP, SD, Call activity, internal CRM data etc. and can triangulate data from multiple sources that drives commercial effectiveness. Collaborate with onshore team/client for day-to-day project activities and guide team, delegate tasks, and take accountability of end-to-end engagement management. Maintain process assets (SOPs, Checklists, BRDs, Process Maps etc.) and establish best practices. Facilitating data enabled decision making for clients by providing and communicating insights & recommendations based on qualitative and quantitative analytics. Understand business requirements, operating business rules, data, and underlying processes to communicate results to clients. Coach and mentor junior team members for higher responsibilities Qualifications MBA / B Pharma / M Pharma/Master degree - Life Sciences academic background or B Tech / BE / M Tech / ME - Engineering academic background. 1-5 years of relevant work experience in Sales force effectiveness/ IC Analytics & dashboard Reporting/ targeting & segmentation/Test & Control Analysis/ MMX Strong Tableau, SQL, Excel tool knowledge Mandatory working experience with life sciences clients Strong oral and written communication with storyboarding skills. Strong learning ability and analytical mindset. Flexibility in terms of approach and availability to cater to client needs. Working policy: Hybrid working model (3 days a week from office) Location: Based out of either of the locations - Pune, Bengaluru Shift- 11- 8 PM Additional Information All your information will be kept confidential according to EEO guidelines. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANAs inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of ones identity. All of our employees points of view are key to our success, and inclusion is everyone&aposs responsibility. Follow us on LinkedIn | Twitter Show more Show less

Role & responsibilities As Senior Data Scientist, you will be responsible for a wide range of engagements listed below: Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it. Applies business acumen in analyses to extract meaningful and actionable information. Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience. Leverages various analytical techniques, appropriate to solving the business problem at hand. Performs research for solutions and solves problems efficiently to overcome data analytics challenges. Engages in the collection, integration, analysis, and presentation of data for various business contexts Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them. Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like. Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering. Shares this knowledge with the rest of the data science team. Does peer reviews of codes and approaches of fellow members of the data science team. Provides mentorship to junior data scientists in the team. Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. 4 to 6 years experience is mandatory Preferred candidate profile Advanced knowledge in one or more areas besides Machine Learning Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale. Reinforcement Learning, Graph Machine Learning, Explainable Machine learning. Advanced understanding of Cloud technologies and experience of deploying applications on cloud.