13 Bayesian Jobs

As a Statistical Modeller - Clinical, you will be responsible for utilizing your expertise in clinical trials and clinical data monitoring to develop and implement statistical models. Your role will involve working with Bayesian and Frequentist models, as well as handling EDC, CTMS, ePro, and eCOA systems. You will also be involved in RBQM, signal detection, KRI analysis, and outlier detection. In this position, a strong understanding of GCP ICH E6/8 and EMA Guidelines is essential. Proficiency in statistical software such as SAS, R, JMP Clinical, and Python will be required for data analysis and modelling. Experience with visualization tools like Tableau and Power BI will also be beneficial. Additionally, familiarity with project management tools like Jira and Confluence is necessary to collaborate effectively with cross-functional teams. An advanced knowledge of R, HTML, and GitHub will further support your role in this dynamic environment.,

Role & responsibilities Job Description We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modelling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modelling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modelling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Experience: 7+ Years Bachelors or master’s degree in data science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modelling. Expertise in Bayesian modelling and machine learning techniques. Proven experience working with AWS SageMaker for model development, deployment, and monitoring. Familiarity with AWS Certified Data Analytics – Specialty certification is a plus. Strong programming skills in Python (preferred) or R. Experience with cloud platforms (AWS preferred), including SageMaker. Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar) Excellent problem-solving and analytical thinking skills. Ability to work in a fast-paced environment and manage multiple projects. Strong communication skills with the ability to explain complex concepts to non-technical audiences. Preferred Qualifications: Experience with A/B testing, econometrics, or other statistical experimentation methods. Familiarity with other cloud computing platforms (e.g., Azure, GCP). Experience working in cross-functional teams and client-facing roles. Additional Information Opportunity to work with cutting-edge technology in a dynamic environment. Exposure to a diverse range of industries and projects. Collaborative and inclusive work culture with opportunities for growth and professional development.

Job Title:Data ScientistExperience6-9 YearsLocation:Remote : Your Mission: Lead groundbreaking projects that leverage AI and machine learning techniques to optimize operations and drive business success. Take ownership of the entire lifecycle from model design, training, productionization, and incremental enhancement. Foster a culture of experimentation by designing and scaling rigorous A/B tests when needed to measure business impact. Educate internal analytics teams on current and emerging research, technologies, and best practices for leveraging ML and LLM in product design and development. Collaborate with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering. Establish best practices in data science and mentor future team members to maintain high standards in data governance and insight generation. Communicate effectively with stakeholders across various technical levels, articulating insights and recommendations about your solutions. Cultivate trust with stakeholders by consistently addressing their true fundamental needs and challenges. A Little More About You: 6+ years of data science, machine learning/statistical modeling experience. Experience implementing theoretical models in an applied environment. M.S. or Ph.D. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field. Strong interest in delivering data-driven solutions using ML and AI. Proficiency in data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software. Solid understanding of statistics, machine learning, operations research, and causal inference. Knowledge of NLP or Bayesian testing is a plus. Insatiable curiosity and bias toward action.

Role: Statistician (Data Science) Experience: 3 - 4 years Shift: 7.30 PM IST - 4.30 am IST (Night Shift) This requirement is for a Statistician with Python, SQL experience We are seeking a data-savvy Statistician to support analytics in the solar energy sector. This role involves using SQL to extract and analyze large datasets related to project performance, customer behavior, and operational efficiency. The ideal candidate will have a strong statistical foundation, practical experience with energy or engineering data, and the ability to translate insights into actionable strategies. Responsibilities: Analyze solar project flow and operational data using statistical methods such as Bayesian inference and distribution modeling, tailored to specific project characteristics. Write complex SQL queries for data extraction and analysis, & Explain them. Develop forecasts, trend analyses, and performance reports. Collaborate across teams to drive data-informed decisions. Ensure data accuracy and integrity through validation processes. Experience in applied Bayesian Statistics Minimum Qualifications: Bachelor's or Master's in Statistics, Data Science, (IEOR) industrial engineering and operations research, or related field. 3+ years of experience in a statistical/data analyst role. Strong proficiency in SQL. Effective communicator with strong data visualization skills. Preferred Qualifications: Python/ R Script preferred Knowledge of solar or energy industry data is a plus.

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

Role & responsibilities Primarily works at the Product/Program Level Provide input for budget planning Manage and Deliver assignments with quality and within timelines Possible to have direct reports; Possible to oversee contingent workers and/or vendors; likely to provide training to others; Analyzes needs to manage resources Responsible for statistical aspect of study designs and data analyses for clinical studies Provides study design input and consultation for clinical endpoint assessments and sample size planning Prepares, or oversees the preparation of statistical sections of clinical protocols in collaboration with key stakeholders, as deemed necessary Writes, or oversees the writing of, statistical analysis plans Conducts, or oversees the conduct of, analyses to support clinical study reports, abstracts, manuscripts, and other documents to support the marketing of Teva products Leads the conduct of analyses and document preparation to support global regulatory submissions, including briefing packages, integrated analyses, and regulatory responses. Collaborates with outsourcing partners and oversees conduct of statistical aspects of outsourced studies, as appropriate Proactively assesses and identifies processes that require improvement Participates in department initiatives to further the effectiveness of global statistics Implements innovative and cutting-edge clinical trial design, methodology and analysis Preferred candidate profile Ph.D./MS in Statistics/Biostatistics (or related field)

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2-6 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Most likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines. Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes). Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations. Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking. Required Skills: . Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka). Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure). Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices. Nice to Have:. Experience with A/B testing, Bayesian optimization, and hyperparameter tuning. Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS). What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2-6 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Most likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines. Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes). Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations. Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking. Required Skills: . Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka). Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure). Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices. Nice to Have:. Experience with A/B testing, Bayesian optimization, and hyperparameter tuning. Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS). What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2-6 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Most likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines. Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes). Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations. Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking. Required Skills: . Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka). Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure). Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices. Nice to Have:. Experience with A/B testing, Bayesian optimization, and hyperparameter tuning. Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS). What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2-6 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Most likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines. Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes). Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations. Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking. Required Skills: . Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka). Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure). Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices. Nice to Have:. Experience with A/B testing, Bayesian optimization, and hyperparameter tuning. Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS). What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Job Description Company Overview Lifesight is a fast-growing SaaS company focused on helping marketers leverage their own data & advanced AI to improve marketing decision making. Our mission is to make it easy for non-technical marketers to navigate the privacy-first era with a modern and unified marketing measurement platform that is designed to drive incremental impact, optimize spend and achieve their business goals. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. We are a profitable company and our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Position Overview We are looking for a seasoned professional with deep experience in the marketing measurement industry to join and lead our marketing science team. The marketing science team at Lifesight sits in the intersection of customer success, sales and marketing. In this role, you will be responsible for managing our marketing science team and its initiatives. You will be responsible for driving revenue by closing deals and ensuring that our customers' needs are met. You will also be responsible for evangelizing our platform in the market through online and offline activities in order to drive demand and build trust. You will get the unique opportunity to work on growing a trending AI-powered measurement platform, in a massive industry and get to truly drive its adoption & success. What Youll Do Manage a team of marketing scientists who assist in solving our customer measurement needs using Marketing Mix Modeling, universal attribution, incrementality testing and causal inference. Evangelize our UMM platform, articulating its value proposition to a diverse range of brands across multiple industries. Own and achieve a revenue target for the US market driven through strategic initiatives that you set up. Study and understand the customers business goals and KPIs to offer expert recommendations and actionable insights to achieve them using our platform. Manage the portfolio of customer accounts, communications and engagement with the support of our team of customer success and support executives, to ensure customer satisfaction. Craft compelling thought leadership content for social media and other channels to engage potential clients and industry leaders. Oversee custom consulting and professional services work for customers who require them. Contribute to our product roadmap and feature development alongside our product, data science and engineering team. Identify and stay ahead of industry trends, track competitor movements and find differentiators to continuously improve our offering and solutions. Work closely with global sales and marketing to ensure alignment and cohesiveness in go-to-market strategies. Train and coach new marketing scientists and other team members to enable career growth and skill development. Requirements You are perfect for the role if you: Bachelors degree or above in Business Management, BI/Analytics, Economics, Statistics, Mathematics and/or Marketing 6+ years experience with strong foundation in data science and/or marketing science, with significant experience in business analytics, marketing analytics, attribution modeling, marketing mix modeling, experimentation projects. Highly accomplished analytical professional with strong problem solving skills and great attention to detail. Proven track record of working with mid-market and enterprise brands across industries. Proven track record of managing teams and delivering results for customers. Excellent project management and account management capabilities, with exceptional customer communication and servicing skills Exceptional ability to communicate complex data science concepts in simple terms. Skilled in developing strategies that drive revenue and market share. Experienced in leveraging social media platforms for brand promotion and thought leadership. Ability to collaborate effectively with diverse global teams. Benefits Whats in it for you? As a team, we are concerned with not only the growth of the company but each others personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make peoples lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 6. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 7. Great benefits - apart from competitive compensation & benefits

Key Responsibilities Causal Inference & Experimentation Design and analyze experiments (A/B tests, observational studies) to identify causal relationships between variables. Apply advanced causal inference methods (e.g., propensity score matching, difference-in-differences, instrumental variables, DAGs) to estimate treatment effects. Use tools like DoWhy , CausalML , or EconML to model causal relationships. Forecasting & Multivariate Analysis Develop time-series forecasting models (e.g., ARIMA, Prophet, LSTM) to predict business metrics (sales, demand, churn). Perform multivariate regression analysis to identify key drivers of outcomes. Validate model accuracy and refine approaches based on feedback. Data Analysis & Visualization Clean, preprocess, and analyze large datasets to extract meaningful patterns. Build dashboards and reports to communicate findings to stakeholders using tools like Tableau, Power BI, or Python (Matplotlib/Seaborn). Collaboration Partner with product, marketing, and operations teams to define KPIs and design data-driven strategies. Translate complex technical results into actionable business recommendations. Technical Skills : Causal Inference : Proficiency in methods like propensity score matching, synthetic controls, and counterfactual analysis. Forecasting : Experience with time-series models (Prophet, ARIMA) and machine learning frameworks (Scikit-learn, TensorFlow). Programming : Strong Python/R skills (Pandas, NumPy, StatsModels, CausalInference). Data Wrangling : SQL proficiency for querying large datasets. Experience : 5+ years in data science, with a focus on causal inference and experimental design. Experience in industries like e-commerce, retail, or tech is a plus.