28 Multivariate Analysis Jobs - Page 2

We won t say we can predict the future, but our team of Market Research Analysts gets pretty close. This role combines data analysis and client consultation from the start, with plenty of room for growth. You find the stories behind scatter plots and help clients determine which products to launch. Your insights will influence decisions for some of today s leading global companies ROLE DETAILS Maintain a client service orientation by managing day-to-day administration of client service and coordinating on analysis and reporting of assigned research projects. Enable fulfilment of client deliverables. Questionnaire preparation / Information area coverage as per proposal Fielding of the same Analysis Plan; Analysis and Interpretation Presentation of findings Understand and implement all internal processes. Serve as primary contact to junior level client contacts on ad-hoc analyses and understand and respond to questions on content, basic data issues/questions, report generation, etc. Assist senior staff in delivering quality services to clients and ensure the services provided to clients are timely and precise according to client business needs and specifications and at the same time meeting the companys quality standards. Assist in sales activities in conjunction with senior staff in terms of preparation of proposal and credential presentations. Be directly accountable for work conducted for their nominated clients in terms of analyses, charting, etc. and perform quality checks on all reports for alignment to request, accuracy and correctness. Developing effective working relationships with customers (existing and new) through regular meetings and identify and obtain further sales and business development opportunities Responding to customer needs or queries and managing the sales process from opportunity identification to customer sign-off Display a positive, can do attitude at all times, offer assistance to others on the team when needed, assist others in areas you are stronger in. hare learning s with the team during team meetings; actively participate in client and internal review meetings/trainings and all team initiatives. QUALIFICATIONS & SKILLS 0-2 years of experience in market research / e-commerce / telecom / media industry Sound understanding of Market Research concepts Strong Client Focus and Pro activeness Working knowledge of statistics and multivariate analysis Working knowledge of research techniques and methodologies ABOUT THE TEAM In Nielsen Online practice, we work with e-giants to help them drive growth via better understanding of consumers at every stage of the journey i.e. realization of a need through to the moment of purchase, followed by how they live with and use products/ services. ABOUT NIELSEN As the arbiter of truth, Nielsen Media India fuels the media industry with unbiased, reliable data about where do people shop from, what do they watch online and from where, what do they use to pay online. To discover what s true, we have comprehensive measurement of consumer perception across online verticals. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth. Do you want to move the industry forward with NielsenOur people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

About the role: As a Senior Data Scientist, you have a grounding in data analysis using tools in Python ecosystem and AWS. You also have a business sense for asking and answering fundamental questions to help shape key strategic decisions. This role involves thinking critically and strategically about video ad delivery as a technology, as a business, and as an operation to help broadcasters, distributors, and media companies transform and evolve their advertising practices through the use of data. Using proven design patterns, you will help identify opportunities for INVIDI and our clients to operate more efficiently and produce innovative and actionable quantitative models and analyses to address the challenges of marketing effectiveness and measurement. As a data scientist, you will do more than just crunch the numbers. You will work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust business practices according to your findings. Identifying the problem is only half the job; you also need to figure out the solution. You must be versatile, display leadership qualities and be enthusiastic to take on new problems as we continue to push technology forward. The position will report directly to the Technical Manager of Software Development and will be based in our Chennai, India office. Key responsibilities: Build business intelligence dashboards using AWS Quick sights, Tableau, Excel and power BI Design, develop and deploy Machine learning models using Linear regression, Classification, Neural networks, Time Series forecasting. Engage broadly within the organization to identify, prioritize, frame, and structure reporting problems Help define analytical direction and influence the direction of data engineering and infrastructure work Conduct end-of-the-end analyses, including data gathering, requirements specification, processing, analysis, ongoing deliverables, and presentations Translate analysis results into business recommendations Develop comprehensive understanding of video content inventory, scheduling, customer segmentation, video distribution, viewership data structures and metrics Recommend and implement strategies to solve business problems when availability of data is limited Work with very large data sets to glean useful insights that are valuable to the business. You must have: Bachelors degree in a computer science, information management systems, or Data Science discipline or equivalent practical experience 5-6 years of experience in statistical data analysis, linear models, multivariate analysis, stochastic models, and sampling methods 4-5 years of experience in data modelling in SQL databases 3-4 years of experience in Data visualization tools like AWS QuickSight, Tableau, Power BI 3-4 years of experience in EDA in Notebook based environments like Jupyter Notebook using Python Pandas, NumPy, Matplotlib, Seaborn 3+ years of experience with AWS services like S3, IAM, Redshift, Athena, and AWS SageMaker 2-3 years' experience designing data lakes, cloud data warehouses using Snowflake, Redshift and BigQuery 2-3 years' experience with one or more cloud service providers like AWS and GCP. Strong experience in A/B testing, experimental design, and statistical inference It would be very good if you have experience in: Experience in building marketing analytics dashboards Working with Scrum teams in an Agile way Experience with MLOps practices and model deployment pipelines Experience in the following domains: video content delivery, viewership measurement, advertising technology, digital advertising Physical Requirements: INVIDI is a conscious, clean, well-organized, and supportive office environment. Prolonged periods of sitting at a desk and working on a computer are normal. Note: Final candidates must successfully clear INVIDIs background screening requirements. Final candidates must be legally authorized to work in India. INVIDI has reopened its offices on a flexible hybrid model.

Analytics professional in payment integrity - stats and modeling data analytics team. Person will be responsible for delivering various fraud analytics statistical projects based on US healthcare data and other consulting assignment. These projects may involve model development, validation, governance, implementation and end to end delivery Lead and work closely with junior/senior statisticians to deliver Fraud, Waste, Abuse (FWA) statistical projects. Team builds models through advanced statistical techniques. Provide support to management in business development, client proposals and in building solid relationships with global analytics teams. Expert in data analytics with significant amount of project delivery skills in one or more of the following areas: Model Building, Model Validation, Fraud detection Analytics, Risk Analytics, Multivariate Analysis Primary Responsibilities: Collaborates across business units with stakeholders, providing thought leadership, and driving day-to-day implementation of our analytics strategy Demonstrable leadership ability, superior problem solving and people management skills. Evaluate statistical methods used to obtain the data to ensure validity, applicability, efficiency and accuracy. Interpret end-user technical requirements by specifying economic decision models, determining appropriate data sources, and performing detailed statistical analysis Create, analyze and maintain explanatory/predictive models of clinical behaviours on healthcare claims data. Work includes all phases of the modelling process: research design, data extraction and cleaning, model building and validation Research on the new fraud & abuse patterns and ideate new assignments/projects basis the secondary/data driven research Lead the advanced statistics domain for the team & develop/refine/improve predictive models using advance SAS, Python, Spark & machine learning techniques and mentors junior/senior analysts/statisticians to develop their modeling/statistical skills Maintains staff by recruiting, selecting, orienting, and training employees; maintaining a safe, secure, and legal work environment; developing personal growth opportunities and accomplishes staff results by communicating job expectations; planning, monitoring, and appraising job results; coaching, counseling, and disciplining employees; developing, coordinating, and enforcing systems, policies, procedures, and productivity standards Co-ordinate with clinical/Coding SMEs for seeking the inputs to explore data extraction approach and road map the analysis milestones Develop and maintain working relationships with key customer stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Masters degree in math or statistics from top universities (Tier I/II) with solid record of achievement and approximately 1+ years of relevant work experience 2+ years of work experience in the area(s) of statistical analysis, data modelling 1+ years of project management experience Experience in data analytics, predictive & statistical modeling, strategy, project management, team management and business development Experience comprising analytics service delivery, solution design and client management Expert focused on helping team improve modeling predictability, analytics driven strategy development, operational efficiency Knowledge of statistical tools and techniques, especially those relating to data mining & analysis. Should have ability to handle/work on large data sets Displays solid communication, interpersonal, and leadership ability across all levels coupled with effective problem solving, conceptual thinking, quantitative and analytical skills Demonstrated leadership ability and willingness to take initiative Excellent knowledge of SAS, Python/Spark, or any other statistical software to carry out analysis and drive conclusions Solid understanding and implementation experience on predictive modeling algorithms such as time series, neural networks, clustering, decision trees, heuristic models, with familiarity dealing with trade-off between model performance and business needs Solid project management skills, ability to influence cross-functionally in a rapidly evolving business environment while managing multiple/concurrent projects Must be able to communicate ideas effectively and concisely to all levels of Management, business partners, and to other external clients Ability to work independently and with a team Preferred Qualifications: Experience/interest in Python, Tableau & Machine learning Experience/interest in building machine learning systems using big data Experience/interest in data visualization and presentation Knowledge of US/UK/Indian/Middle-East Healthcare system, Specially Fraud management Certifications - Technical SAS, Python, Spark; Healthcare domain - AHM