1 Bayesian Methods Jobs nearby Mysore

iSOCRATES is a Global Leader in MADTECH Resource Planning and Execution(TM), providing Strategy and Operations Consulting and Managed Services for Marketing, Advertising, and Data technologies. The company is known for its specialists who deliver reliable and affordable solutions 24/7/365, focusing on saving partners money and time while ensuring transparent and accountable performance. Lead Data Scientist at iSOCRATES: As a Lead Data Scientist at iSOCRATES, your role involves spearheading the Data Science team, focusing on defining, designing, and analyzing audience, campaign, and programmatic media trading data. You will collaborate with partner-focused Managed Services and Outsourced Services, working across various media channels to drive impactful outcomes. Key Responsibilities: - **Team Leadership & Management**: - Lead and mentor a team of data scientists in developing data-driven solutions for media and marketing campaigns. - **Advanced Analytics & Data Science Expertise**: - Apply statistical and Big Data methods to design analytics solutions and optimize economic outcomes. - Utilize modeling techniques such as propensity modeling, Media Mix Modeling, and Bayesian statistics. - **Generative AI & NLP**: - Implement Generative AI and NLP techniques to enhance data modeling and analysis processes. - **Data Architecture & Management**: - Architect and manage dynamic data systems for effective integration of audience, pricing, and contextual data. - Oversee the management of DSPs, SSPs, and DMPs integral to the ad-tech ecosystem. - **Cross-Functional Collaboration**: - Work closely with various teams to ensure seamless data quality and predictive outcomes. - Design and deliver actionable insights and reporting tools for internal teams and business partners. - **Predictive Modeling & Optimization**: - Develop predictive models to drive programmatic optimization and analyze campaign performance. - **Data Collection & Quality Assurance**: - Design, collect, and manage data ensuring high-quality standards and efficient storage systems. Qualifications: - Masters or Ph.D. in Statistics, Engineering, Science, or Business. - 8 to 10 years of experience in data science, predictive analytics, and digital analytics. - Proficiency in tools such as Python, R, scikit-learn, Hadoop, Spark, MySQL, and AWS S3. - Strong analytical skills with expertise in logistic regression, customer segmentation, and predictive analytics. This role offers an exciting opportunity to lead data science initiatives in the digital media and advertising industry, requiring strong technical skills, leadership abilities, and a passion for innovation. If you are ready to drive impactful, data-driven solutions and thrive in a fast-paced environment, we encourage you to apply.,

You are seeking engineers or applied scientists with expertise in implementing data mining and machine learning systems to contribute to the development of an innovative online education platform tailored to individual students. Your responsibilities will include: - Passion and enthusiasm for constructing scalable systems that analyze extensive data sets and provide actionable recommendations - Demonstrated ability to discover relationships within large, seemingly unrelated data sets - Proficiency in working with incomplete or imperfect data - Knowledge of linear algebra and data manipulation using matrix algorithms - Competence in constructing and interpreting probabilistic models for intricate, high-dimensional systems - Experience in quantitative analysis utilizing Python - Familiarity with database technologies like SQL - Strong programming skills in Java, C, C++, or Python Preferred experience with the following technologies: - Collaborative filtering - Decision trees (including automatic tree generation) - Bayesian methods - Clustering techniques (e.g., principal components analysis, k-means, etc.) Additionally, you value candidates with: - Prior experience with Hadoop or other MapReduce implementations - Expertise in semantic text mining or natural language processing - Background in high-stakes information retrieval and statistical analysis, such as Bioinformatics or Fraud Detection If you are interested in this opportunity, kindly submit your resume to info@zunopy.com.,

As a Data Science Product Manager at Lifesight, your role is crucial in shaping AI-powered marketing measurement products by leveraging your strong background in statistics, engineering, and applied data science. You will work at the intersection of data science, statistical modeling, and product strategy to deliver intuitive and impactful features that empower marketers to make data-driven budget decisions. **Key Responsibilities:** - **Own Product Discovery**: - Identify critical measurement challenges through research and data exploration. - Evaluate opportunities for applying causal inference, Bayesian methods, and experimentation. - **Drive the Roadmap**: - Define and prioritize features for advanced analytics areas like Marketing Mix Modeling, Incrementality Testing, or Attribution. - Ensure alignment between user needs, model feasibility, and business value. - **Bridge Data Science & Product**: - Partner closely with data scientists to build models using libraries like Meridian, LightweightMMM, Robyn, PyMC, or Stan. - Ensure statistical rigor while packaging outputs into scalable, intuitive product workflows. - **Experimentation & Validation**: - Design and analyze A/B/n tests, incrementality studies, and holdout experiments. - Apply hypothesis testing, causal inference, and experimental design best practices to validate impact. - **Define & Specify**: - Write clear product requirements with technical depth and business context. - **Measure & Iterate**: - Define KPIs for adoption and model performance metrics. - Iterate features based on product usage and model validation. **Qualifications:** - Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or Engineering. - 5+ years of professional experience in data science, analytics, or technical product management roles. - Hands-on familiarity with statistical modeling libraries such as Meridian, Lightweight MMM, Robyn, PyMC, or Stan. - Strong foundations in probability, regression, hypothesis testing, causal inference, and experimental design. - Experience designing, analyzing, and interpreting experiments (A/B tests, geo-tests, synthetic control, etc.). - Ability to work with large datasets and interpret model outcomes into actionable product decisions. - Excellent communication skills, capable of simplifying complex statistical outputs for non-technical stakeholders. - Demonstrated ability to take features from concept to launch with clear ownership. **Preferred Qualifications (Bonus Points):** - Experience in AdTech, MarTech, or marketing measurement domains. - Familiarity with Causal Inference frameworks and advanced time-series and regression models. - Understanding of data pipelines, APIs, and MLOps practices. - Prior experience in an Agile/Scrum development environment. If you're passionate about statistics, comfortable with advanced modeling libraries, and thrive in bringing cutting-edge data science into customer-facing products, Lifesight offers you the opportunity to be part of a dynamic team driving innovation in the marketing analytics space.,

As a Machine Learning Scientist at CrunchMetrics, you will have the opportunity to work on building solutions to complex challenges and contribute to defining the next generation of autonomous analytics solutions. You should possess a background in Machine Learning development and an expert level of data science knowledge. The role will report to the Head of Strategy and Products and will be based in Bangalore, India. Key Responsibilities: - Utilize your 6-8 years of proven experience in building Machine Learning/ Deep Learning based solutions/products. - Demonstrate strong hands-on skills in Python using libraries like NLTK, SkLearn or proficiency in R and Java. - Apply your expertise in at least one of the following: Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics. - Work with large data sets and tools such as Elastic Search, Spark, and Hive. - Showcase excellent communication skills by presenting technical concepts to various audiences, both internal and external. - Collaborate effectively across teams to deliver impactful results. Qualifications: - 6-8 years of proven experience in building Machine Learning/ Deep Learning based solutions/products. - Strong hands-on skill in Python using libraries like NLTK, SkLearn or proficiency in R and Java. - Background in at least one of the following: Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics. - Experience working with large data sets and tools such as Elastic Search, Spark, and Hive. - Excellent communication skills with the ability to present technical concepts to diverse audiences. - Ability to collaborate effectively across teams. Company Information: CrunchMetrics is a leading company in the AI industry, focused on developing autonomous analytics solutions. With a dynamic team and a culture of innovation, CrunchMetrics provides an exciting and challenging environment for professionals in the field of Machine Learning.,