172 Decision Tree Jobs - Page 7

About The Role The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 7 to 10 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Collaborate with clients to understand their business objectives and provide analytic solutions that positively address their needs. Conduct discovery sessions, workshops and whiteboard sessions to identify, understand and define customer needs, objectives, roadmaps and/or business requirements to design solutions that can best address existing or prospective clients. Conducting stakeholder interviews and workshops to gather and prioritize business requirements. Analysing and documenting current business processes and systems. Identifying opportunities for process improvement, cost reduction, and efficiency gains. Translating business requirements into functional specifications for technical teams. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Collaborating with stakeholders to validate requirements and ensure alignment with business goals. Supporting the implementation and testing of solutions to ensure they meet business needs. Technical and Functional skills: 5 years of experience as a customer facing business analyst with minimum graduation in any field. Analytical ExpertiseProficient in analysing business processes, systems, and requirements to identify areas for improvement and optimization. Communication Skills: Ability to effectively communicate with stakeholders from various backgrounds to gather requirements, facilitate meetings, and present findings. Problem-Solving Skills: Capable of identifying problems, proposing solutions, and implementing strategies to address business challenges. DocumentationSkilled in documenting business requirements, user stories, process flows, and other artefact to ensure clear communication and understanding among stakeholders. Data AnalysisComfortable with data analysis techniques and tools to derive insights and make data-driven recommendations. Domain KnowledgePossesses a deep understanding of the Hi-tech industry or Supply chain / logistics domain, enabling them to provide valuable insights and recommendations. Project ManagementFamiliarity with project management methodologies and practices to effectively manage project timelines, resources, and deliverables. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Knowledge of data visualization tools like Power BI, Tableau, QlikSense etc. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Very high attention to detail and quality.

Skills Required: Python, R, Statistics, Machine Learning, Deep Learning, Cluster Regression, Generative AI (GenAI) Responsibilities: Assist with the development, testing, and deployment of AI/ML models, including Generative AI (GenAI) solutions. Brainstorm and implement solutions by referencing research papers, scholarly articles, and industry best practices. Perform data mining using state-of-the-art methods to extract insights and enable predictive analytics. Process, cleanse, and verify the integrity of datasets , ensuring their usability for accurate analysis and model training. Conduct error analysis for demand, wind, and solar forecast models to identify and implement enhancements. Carry out manual computations for demand, wind, and solar forecasts, complementing automated systems when necessary. Perform in-depth analysis to uncover insights and solve complex problems within the renewable energy domain. Understand and optimise forecasting models using R and Python programming. Design and implement new scripts in R and Python to automate tasks and improve operational efficiency. Develop Generative AI applications , including scenario generation, predictive modelling, and domain-specific innovations. Collaborate with cross-functional teams to integrate GenAI solutions into forecasting workflows. Update project status for self-assigned tasks daily, ensuring clear communication and project alignment.

Practical in applying geometric concepts, with strong Python & SQL skills. Creative problem-solver, innovator, able to build agent-driven solutions. Senior dev with TDD, AWS knowledge preferred over Ph.D.

Job description: Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge. In this job, I am accountable for: Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: - Understands business needs and in depth understanding of Tesco processes - Builds on Tesco processes and knowledge by applying CI tools and techniques. - Responsible for completing tasks and transactions within agreed KPI's - Solves problems by analyzing solution alternatives Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources - Building Statistical models and ML algorithms with practitioner level competency -Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency - Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs Working with the line manager to ensure application / consumption and proactively identifying opportunities to help the larger Tesco business with areas of improvement. Experience relevant for this job: - Applied Math: Applied Statistics, Design of Experiments, - 2 - 4 years experience in data science application in Retail or Regression, Decision Trees, Forecasting, Optimization CPG Preferred algorithms, Clustering, NLP - Functional experience: Marketing, Supply Chain, Customer, - Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Merchandising, Operations, Finance or Digital PowerPoint, GitHub - Business: Basic understanding of Retail domain - Soft Skills: Analytical Thinking & Problem solving, Storyboarding, Articulate communication

Bachelors/Master’s degree in Computer Science, Data Science, AI/ML, or related field. Strong programming experience in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow). Solid experience in machine learning, NLP, and deep learning frameworks . Hands-on expertise in LLMs (OpenAI, Hugging Face Transformers, LangChain, RAG frameworks) . Knowledge of vector databases (Pinecone, Weaviate, FAISS, Milvus) for semantic search and retrieval-augmented generation. Experience with cloud AI services (AWS SageMaker, GCP Vertex AI, Azure ML). Strong skills in SQL and data visualization tools (Power BI, Tableau, or similar). Familiarity with MLOps and model lifecycle management . Excellent analytical, problem-solving, and stakeholder communication skills. Good to Have (Preferred): Experience with multi-modal LLMs (text + image, text + speech). Understanding of Reinforcement Learning from Human Feedback (RLHF) . Contributions to open-source NLP/LLM projects. Prior experience in financial services, healthcare, or e-commerce domain is a plus.

Role: Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You: Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks Feedforward, CNN, LSTMs GRUs is a plus. Optimization techniques Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science.

About the Role We are seeking a Data Scientist with strong expertise in Python and SQL to join our growing data team. Youll work on data modeling, predictive analytics, and business intelligence projects that directly impact strategic decision-making. Key Responsibilities Extract, clean, and transform data from multiple sources using SQL and Python. Build predictive models and machine learning algorithms for business use cases. Perform exploratory data analysis (EDA) and generate actionable insights. Create interactive dashboards & reports (Power BI/Tableau). Optimize and maintain data pipelines, ETL processes, and workflows . Collaborate with cross-functional teams to translate business needs into analytical solutions. Present analytical results in a clear, visual, and business-friendly format. Required Skills 1–5 years of experience in Data Science or Data Analytics roles. Strong proficiency in Python (NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn). Advanced SQL skills (complex queries, joins, window functions, optimization). Understanding of machine learning algorithms and statistical methods. Experience in data visualization tools (Power BI, Tableau, or similar). Strong problem-solving and analytical skills. Bachelor’s/Master’s in Computer Science, Data Science, Statistics, Mathematics, or related fields. Nice to Have Familiarity with cloud platforms (AWS, Azure, GCP). Exposure to Big Data tools (Spark, Hadoop). Basic understanding of APIs and automation scripts . What We Offer Competitive industry-standard salary + performance incentives. Flexible working hours & hybrid/remote opportunities. Exposure to real-world, high-impact projects .

Roles & Responsibilities: Ensure that high quality bio statistical and psychopharmacology support is provided by the Analytics team Ensure that staff implement innovative, rigorous bio statistical methods to meet study objectives Lead RWE (Real World Evidence) large scale analytics (LSA) studies. Run statistical programs in R, R shiny, deploy study packages and generate reliable RWE results in TFLs with minimal supervision. Provide statistical support for design, implementation, running, analysis and dissemination of results for clinical trials Design and analyze clinical research projects Create and execute Statistical Analysis Plans Strong Knowledge in RWE(Real World Evidence) with Bio statistics Background Experience in creating cohort analysis or Meta analysis or Survival analysis or Bayesian Versus Frequentest Approaches to Clinical Trials Experience in implementing generalized mixture models, Bayesian mixer models, Fixed-effects and Random-effects models Knowledge on Statistical Process Control, Stochastic Optimization Knowledgeable in R or Python programming Skills and shiny web app development Knowledge on Cloud platform like AWS Exposure to Healthcare data formats like HL7, OMOP, ODHSI Exposure to RWE, RWA, RWD Experience with data sources like registries, EMR Good communications Skills

Welcome to the relentless pursuit of better. Inviting applications for the role of Data Scientist The position is based out of India and the focus of the role is to have enterprise level experience in Predictive and NLP Model build, validation, implementation, monitoring, etc. and do analysis on data, be able to understand, translate and integrate the analysis. We are seeking a highly skilled and experienced Generative AI Specialist for developing and implementing cutting-edge generative models to solve complex problems using LLM technology. Need to collaborate with cross-functional teams, conduct research, and deliver innovative solutions in the field of generative artificial intelligence. Responsibilities Participating and collaborating with operation teams in the organization to understand the business requirements and to deliver scalable solutions. Conduct thorough research on state-of-the-art generative AI techniques, stay up to date with the latest advancements, and apply them to enhance the capabilities of LLM models. Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection. Strong analytical and problem-solving skills, and ability to set goals and meet deadlines in fast paced working environment. Analyze user behavior, conversion data, customer journeys to generate hypothesis and build optimization plans and provide insights for feature improvements. Perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents. Lead efforts to train and fine-tune language models, ensuring they meet high standards of performance, efficiency, and safety. Work on strategies to scale language models, optimizing for efficiency and reducing resource consumption. Deploy model in cloud- Azure, AWS, GCP. Qualifications we seek in you. Minimum qualifications Education in Statistics, Mathematics, Computer Science, or another quantitative field. Preferred qualifications Experience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets. Experience in deploying LLM models in production. Experience in using industry standard AI/ML libraries i.e., Sklearn, Keras, Tensorflow, AutoML etc. Solid understanding of generative AI concepts, frameworks, and techniques, with hands-on experience in developing and deploying generative models. Proficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models like Llama 2, Falcon LLM. Strong programming skills in languages such as Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch). Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment. Familiarity with natural language processing (NLP) and understanding of various NLP tasks is a plus. Prior experience in handling LLM use cases or working with large-scale language models is highly desirable. Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Immediate Jooiners or candidates serving notice period would be preferred. Purpose of the Role At Yum! Were looking for a Data Scientist II to add to our dynamic and rapidly scaling team. Wed want you to be part of our mission to optimize our digital channels and technology innovations with the end goal of creating competitive advantages for our restaurants around the globe and other engagements. Were looking for a solid analytics professional who brings fresh ideas from experience and is eager to tackle new challenges in our company. Candidates must be proficient with data programming languages (e.g., Python and SQL). Candidate should have a consulting or service mindset and be open to working in long term or short-term projects with different teams depending on business needs. The role demands the candidate to work hands on alongside some mentoring responsibilities. They will be leading an engagement and will play a pivotal role in solving business problems by translating them into analytical frameworks and solving it using combination of data science, technology, and domain knowledge. They will also be responsible for mentoring and managing their team and overall delivery ownership. They should also have excellent communication skills and proven experience of presenting to stakeholders. Responsibilities As a Data Scientist- I/ II , you will: Analyze data and generate analytical outputs to deliver insights, evaluate the hypothesis and complete root cause analysis of the business problem. Should have strong analytical skillset to design end to end solution leveraging the latest machine learning (ML) techniques, including data preparation, exploratory data analysis, feature engineering, model selection, model development, model evaluation, cross-validation, and deployment Effectively present the analytics approach and insights to a larger business audience. Solve business problems which involves: Brainstorm with clients and internal teams to define a problem Translate the business problem into an analytical problem Identify internal and external data requirements for solving the analytical problem Solving the analytical problem using concepts from mathematics, statistics, Artificial Intelligence and Machine learning Create, maintain and enhance artefacts that can help communicate the solution to clients like dashboards, power point decks, excel sheets etc. Mentor team and handle day to day project deliverables and timeline. Minimum Requirements: Bachelor’s degree / master’s degree in engineering, quantitative field such as statistics, business analytics or equivalent past work experience 4-6 years of experience in data science, leading teams, building hands-on Analytical models Advanced SQL skills, excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks. Hands-on experience working with regression, clustering, decision trees and related models. Ability to use data and metrics to back up assumptions, evaluate the hypothesis and complete root cause analysis of the business problem. Experience in integrating business analysis with technical solutions that involve advanced analytics solutions, demand forecasting, segmentation, churn prediction, predictive maintenance, and route optimization, etc.

Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Economics, Statistics, Data Science) Preferred Institution: NIT, ISI, Any - School of Economics Responsibilities: Serve as expert in Data Science, build framework to develop Production level DS/AI models. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions. Present results, insights, and recommendations to senior management with an emphasis on the business impact. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization. Required Skills: Expertise in ML - Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers. Expertise in programming languages SQL, Python/ R, Spark. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch). Experience with cloud computing services Azure. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing. Knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc , Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP). Knowledge in GPU code optimization, Spark MLlib Optimization. Familiarity to deploy and monitor ML models in production, delivering data products to end-users. Experience with ML CI/CD pipelines.

Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Economics, Statistics, Data Science) Preferred Institution: NIT, ISI, Any - Scool of Economics Responsibilities: Serve as expert in Data Science, build framework to develop Production level DS/AI models. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions. Present results, insights, and recommendations to senior management with an emphasis on the business impact. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization. Required Skills: Expertise in ML - Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers. Expertise in programming languages SQL, Python/ R, Spark. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch). Experience with cloud computing services Azure. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing. Knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc , Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP). Knowledge in GPU code optimization, Spark MLlib Optimization. Familiarity to deploy and monitor ML models in production, delivering data products to end-users. Experience with ML CI/CD pipelines.

Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Economics, Statistics, Data Science) Preferred Institution: NIT, ISI, Any - School of Economics Required Skills: Expertise in ML - Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers. Expertise in programming languages SQL, Python/ R, Spark. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch). Knowledge in cloud computing services Azure. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing. Knowledge in Mathematical programming - Linear Programming, Mixed Integer Programming etc , Stochastic Modelling - Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.

The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value.Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 7 to 10 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value.Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 5+ years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 5+ years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value.Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 7 to 10 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Collaborate with clients to understand their business objectives and provide analytic solutions that positively address their needs. Conduct discovery sessions, workshops and whiteboard sessions to identify, understand and define customer needs, objectives, roadmaps and/or business requirements to design solutions that can best address existing or prospective clients. Conducting stakeholder interviews and workshops to gather and prioritize business requirements. Analysing and documenting current business processes and systems. Identifying opportunities for process improvement, cost reduction, and efficiency gains. Translating business requirements into functional specifications for technical teams. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Collaborating with stakeholders to validate requirements and ensure alignment with business goals. Supporting the implementation and testing of solutions to ensure they meet business needs. Technical and Functional skills: 5 years of experience as a customer facing business analyst with minimum graduation in any field. Analytical Expertise: Proficient in analysing business processes, systems, and requirements to identify areas for improvement and optimization. Communication Skills: Ability to effectively communicate with stakeholders from various backgrounds to gather requirements, facilitate meetings, and present findings. Problem-Solving Skills: Capable of identifying problems, proposing solutions, and implementing strategies to address business challenges. Documentation: Skilled in documenting business requirements, user stories, process flows, and other artefact to ensure clear communication and understanding among stakeholders. Data Analysis: Comfortable with data analysis techniques and tools to derive insights and make data-driven recommendations. Domain Knowledge: Possesses a deep understanding of the Hi-tech industry or Supply chain / logistics domain, enabling them to provide valuable insights and recommendations. Project Management: Familiarity with project management methodologies and practices to effectively manage project timelines, resources, and deliverables. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Knowledge of data visualization tools like Power BI, Tableau, QlikSense etc. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Very high attention to detail and quality.

Bachelor's or Masters degree in Computer Science, Statistics, Mathematics, or related field. 6–9 years of relevant experience in data science, machine learning, or statistical modeling. Strong programming skills in Python or R. Advanced SQL skills for data extraction and manipulation. Experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch. Familiarity with data visualization tools like Power BI, Tableau, or matplotlib/seaborn. Solid understanding of statistics, hypothesis testing, and experimental design. Experience working with cloud platforms (AWS/GCP/Azure) is a plus.

We are Looking for Immediate Joiners Who can Join us with in 15 Days About Us: DataBeat.io is a data and analytics services company that provides big data, analytics, and operations management services to various companies globally. Working at DataBeat.io helps you to be at the forefront of the big data and analytics ecosystem. You will work with clients who are leading companies that develop breakthrough solutions, concepts that are shaping the technology world, and cutting-edge tools. Fast-growing company where your performance and contribution could move you into leadership positions fairly quickly. Now we're a part of Media mint https://mediamint.com/ Key Roles and Responsibilities: AI/LLM Projects: Assist in developing applications using latest LLMs (ChatGPT, Claude, Gemini), Gen AI. Support campaign optimization using statistical and machine learning models Analyze advertising performance metrics and trends Contribute to predictive modelling for ad performance Help develop automated optimization algorithms Key Responsibilities: Analyze large datasets (>100mn's rows) to extract actionable insights Develop and maintain ML models for campaign optimization Assist in creating and maintaining data pipelines Build and improve dashboard visualizations Support A/B testing and performance analysis Collaborate with cross-functional teams Document technical processes and findings Required Qualifications: Bachelor's degree in Computer Science, Data Science, Mathematics, or related field 2-4 years of experience in data science or related field Strong Python programming skills (Pandas, NumPy, Scikit-learn) Understanding of statistical analysis and machine learning concepts Experience with data visualization tools (Looker, Tableau, or similar) Basic SQL knowledge Strong analytical and problem-solving skills Nice to Have: Experience with LLM frameworks and prompt engineering Knowledge of programmatic advertising Familiarity with cloud platforms (GCP) Understanding of digital advertising metrics and KPIs: Technical understanding of the programmatic advertising ecosystem from Ad Servers, DSPs, SSPs, Ad Verification vendors and agencies is a big plus, but not essential Version control experience (Git) Familiarity with tree-based methods and gradient boosting techniques. Technical Skills: Programming: Python, SQL ML Libraries: Scikit-learn or equivalent, PyTorch Data Analysis: Pandas, NumPy Visualization: Matplotlib or equivalent, Seaborn or equivalent BI Tools: Looker LLM Tools: Lang Chain or equivalent Personal Qualities: Strong curiosity and eagerness to learn Good communication skills Ability to work in a fast-paced environment Detail-oriented and organised Team player with collaborative mindset Self-motivated and proactive We are looking for someone who is passionate about both AI technologies and data-driven advertising optimization, with the ability to balance multiple projects and learn quickly.

About OJ Commerce: OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States. As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually. Responsibilities: • Develop, validate, and implement advanced statistical models, including mixed effects models, structural equation modelling, generalized additive models (GAMs), Bayesian modelling, and hierarchical models to address complex business challenges. • Analyze large datasets using statistical techniques to extract actionable insights and trends. • Collaborate with stakeholders to understand business needs and translate them into analytical solutions. • Present findings and recommendations clearly to both technical and non-technical audiences. • Stay current with industry trends, statistical methodologies, and best practices in data analysis. • Document methodologies and results, ensuring transparency and reproducibility of models. • Conduct exploratory data analysis to inform model development and improve accuracy. • Participate in continuous improvement initiatives to enhance modelling processes and tools. Qualifications: • Masters degree or above in Statistical Sciences. • Proven experience in statistical modeling, data analysis, and predictive analytics. • Very strong proficiency in statistical software (e.g., R, Python, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI). • Strong understanding of advanced statistical techniques, including regression analysis, time series forecasting, mixed effects models, structural equation modeling, generalized linear models (GLMs), machine learning algorithms (e.g., decision trees, random forests, support vector machines), and Bayesian inference. • Excellent problem-solving skills and attention to detail. • Strong communication skills, with the ability to convey complex statistical concepts to diverse audiences. • Experience with data management and database systems (e.g., SQL) is a plus. What we Offer • Competitive salary • Medical Benefits/Accident Cover • Flexi Office Working Hours • Fast paced start up