1 Multivariate Analysis Jobs nearby Madurai

As a Subscription Growth & Retention Manager for our Sportstech Live App, you will lead the performance and lifecycle strategy to increase user conversion, enhance app engagement, and reduce churn. Collaboration with product, marketing, data, and design teams is essential to optimize the user journey effectively. Your key responsibilities will include: - Increasing trial-to-paid and visitor-to-subscriber conversion through data-driven testing and messaging. - Developing and managing onboarding experiences to drive user activation and habit formation. - Analyzing user behavior, identifying churn risk, and implementing proactive retention strategies. - Conducting A/B and multivariate tests across app flows, pricing, messaging, and CRM. - Launching and overseeing multi-channel lifecycle campaigns (email, in-app, push notifications). - Owning and reporting on key performance indicators (KPIs) such as conversion rate, churn, LTV, renewal, and win-back. - Collaborating cross-functionally with Product, Creative, Data, and Customer Success teams. - Supporting App Store Optimization (ASO) efforts to increase app visibility and downloads. - Monitoring industry trends and benchmarking competitors in the fitness and health tech sectors. Qualifications required: - 4+ years of experience in subscription growth, lifecycle marketing, CRM, or digital product optimization. - Strong grasp of user behavior, conversion funnels, and retention metrics. - Experience with A/B testing platforms such as Firebase, Amplitude, or Optimizely. - Proficient analytical skills using SQL, Excel, or BI tools to derive actionable insights. - Familiarity with lifecycle platforms like Braze, Iterable, Leanplum, or similar. - Experience in freemium or trial-to-paid subscription business models. - Excellent written and verbal communication skills to ensure alignment across teams and effectively communicate campaign outcomes and product enhancements. Preferred skills that would be considered a bonus include: - Background in fitness, wellness, or mobile apps. - Strong eye for UX/UI and design collaboration. - Understanding of gamification, habit loops, or loyalty program design. - Experience working across international markets and managing localization workflows. This is a full-time position located in Madurai and Bangalore with health insurance benefits.,

You will be working with ValGenesis, a leading digital validation platform provider for life sciences companies. The company's suite of products is utilized by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance, and manufacturing excellence across their product lifecycle. As a Data Scientist in this role, your responsibilities will include: - Developing statistical and machine learning models for QbD, CPV, PAT, and process monitoring use cases - Advising product managers and leaders on the value of advanced analytics and modeling in the product suite - Collaborating with engineering and subject matter experts to ensure technically sound and explainable models - Creating prototypes and proofs of concept for new analytics-based product features - Ensuring modeling practices align with regulated environments such as GxP and GMP - Writing clear documentation explaining modeling approaches for internal and external stakeholders - Contributing to product discovery by identifying opportunities for AI, ML, or advanced statistical methods to improve usability and decision-making To be successful in this role, you must have: - At least 5 years of hands-on experience in data science and life sciences manufacturing domains - Expertise in advanced data science and statistical modeling tools and languages such as SIMCA, JMP, Python, R, etc. - Strong knowledge of multivariate analysis, chemometrics, predictive modeling, and time-series modeling - Deep understanding of QbD, CPV, PAT, or Process Validation in regulated environments - Interpersonal skills such as product thinking, inquisitiveness, strong communication, collaboration, and rigor in documentation ValGenesis disrupted the life sciences industry in 2005 with the introduction of the world's first digital validation lifecycle management system. The company continues to innovate and expand its portfolio beyond validation with an end-to-end digital transformation platform. You will be joining a team that values customer success and collaboration. The company believes in open communication, mutual support, and a culture of innovation. ValGenesis is dedicated to becoming the number one intelligent validation platform in the market. The company's offices in Chennai, Hyderabad, and Bangalore require onsite presence 5 days a week to foster creativity, community, and collaboration. Please note that artificial intelligence tools may be used in the hiring process to support recruitment activities, but final decisions are made by humans. If you have any questions about data processing, feel free to reach out to ValGenesis.,

As a Marketing Insights Analyst, you will be responsible for collecting, analyzing, and interpreting data related to marketing activities and customer behavior. Your role will involve providing actionable insights to support strategic decision-making, improve marketing campaigns, and contribute to business growth. You will work with data from various sources such as digital channels, surveys, social media, and sales to identify trends and patterns that inform marketing strategies. Key responsibilities include: - Analyzing raw data from multiple sources (e.g., digital ad platforms, social media, customer data) and performing data cleaning and advanced statistical analysis using tools like Power BI, Python, R, SQL. - Tracking and reporting marketing performance metrics and campaign results, including A/B testing and multivariate analysis. - Creating data visualizations and presentations to communicate insights to both technical and non-technical audiences. - Advising marketing functions on customer and market data to aid in areas like product development, pricing, and campaign optimization. - Supporting primary market research projects with survey design, data collection, and reporting. - Staying updated on new digital marketing developments and applying them to optimize marketing efforts. Qualifications required for this role: - Proficiency in tools such as Power BI, Python, R, SQL for data analysis. - Strong analytical skills and the ability to interpret complex data sets. - Excellent communication skills to present insights to different stakeholders effectively. This position offers full-time, permanent employment opportunities for both experienced professionals and freshers. Benefits: - Health insurance - Provident Fund Please note that the work location for this role is in person.,

As a Data Scientist and Advanced Analytics Solution Developer at Pfizer's SAP Analytics Enablement (SAE) team, you will have the opportunity to collaborate with business and creation center SMEs to understand customer needs and deliver actionable, model-driven solutions. You will lead the full machine learning lifecycle, including research, design, experimentation, development, deployment, monitoring, and maintenance. Your role will involve analyzing large, complex datasets to extract meaningful insights and support decision-making. Additionally, you will develop prototypes and implement AI/ML algorithms in collaboration with data product owners, engineering teams, and business users. Optimizing model performance through hyperparameter tuning and model selection will be essential, as well as continuously enhancing models to better align with evolving business needs. Partnering with support and operations teams to deploy new and updated analytical solutions will also be a key responsibility. In this role, you will drive the development and enhancement of Pfizer's SAP Analytics systems, leading hands-on initiatives to deliver cutting-edge digital solutions and fostering innovation throughout the application lifecycle. You will define and set objectives for the vendor application teams operations, prioritize resources, and plan/deploy solution deliverables to support business requirements. Providing technical and application knowledge leadership to the members of the vendor application development team will be crucial, leveraging technical and functional expertise across multiple disciplines. You will also partner with support and operations teams to share knowledge of Pfizer's new technologies and processes, define and implement support requirements, and manage the transition of products and solutions to long-term operations support. Taking well-managed risks while ensuring the highest level of quality and compliance related to software development, enhancements, documentation, and change management will be part of your responsibilities. Qualifications Required: - Bachelor's degree or higher in technical discipline (computer science, engineering, etc.) - 4+ years (2+ years with MBA/MS) of experience in information technology, analytics, or related field - Experience in regression modeling, machine learning, natural language processing, data analysis, application of distributed systems to scale solutions, linear algebra, calculus - Experience in Linear Algebra, Probability & Statistics, Multivariate Calculus; programming with SQL, Python - Experience in supervised and unsupervised Machine Learning algorithms and deep learning frameworks; Data Visualization; data wrangling, developing pipelines for Machine Learning - Experience with building big data pipelines and Data Manipulation/data analytics/data management/Big data system - Industry experience with writing code (e.g., Python, Pytorch, PyScala, PySpark, JavaScript) and taking ML models/algorithms to production - Strong analytical skills, results-oriented, customer-oriented attitude, good strategic and conceptual thinking skills - Ability to present complex information in a clear and concise manner Preferred Qualifications: - Pharmaceutical industry experience - Knowledge of SAP BDC including Datasphere and Databricks - Design Replication Flows in Datasphere - Develop and maintain Spaces, Local Tables, Views, Data Flow, Replication Flow, Transformation Flow, DAC, Task Chain, and Intelligent Lookup within SAP Datasphere Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.,