244 Arima Jobs

Responsible for accurately and promptly posting payments, denials, and adjustments. Ensure precise posting of insurance EOB payments to patient accounts. Verify checks with summary totals and provide periodic reporting. Required Candidate profile Expertise in accurately posting insurance payments, denials, and adjustments from EOBs to the appropriate patient account line items. Immediate joiners preferred. Send CV recruitment1.hipl@gmail.com

Responsible for accurately and promptly posting payments, denials, and adjustments. Ensure precise posting of insurance EOB payments to patient accounts. Verify checks with summary totals and provide periodic reporting. Required Candidate profile Expertise in accurately posting insurance payments, denials, and adjustments from EOBs to the appropriate patient account line items. Immediate joiners preferred. Send CV recruitment1.hipl@gmail.com

Responsible for accurately and promptly posting payments, denials, and adjustments. Ensure precise posting of insurance EOB payments to patient accounts. Verify checks with summary totals and provide periodic reporting. Required Candidate profile Expertise in accurately posting insurance payments, denials, and adjustments from EOBs to the appropriate patient account line items. Immediate joiners preferred. Send CV recruitment1.hipl@gmail.com

Responsible for accurately and promptly posting payments, denials, and adjustments. Ensure precise posting of insurance EOB payments to patient accounts. Verify checks with summary totals and provide periodic reporting. Required Candidate profile Seeking experts in posting insurance payments, denials, & adjustments via EOBs. ECW experience required. Immediate joiners preferred. Send CV to recruitment1.hipl@gmail.com.

Responsible for accurately and promptly posting payments, denials, and adjustments. Ensure precise posting of insurance EOB payments to patient accounts. Verify checks with summary totals and provide periodic reporting.

The Position:- We are seeking a highly skilled Data Scientist to lead the development and optimization of our Forecasting and Measurement & Verification (M&V) platform. This platform supports forecasting and M&V for approximately 3 million distributed energy devices at once. As a senior member of the Forecasting team, you will collaborate closely with data engineers, software engineers, and SREs to enhance core algorithms, improve scalability, and deliver new services. You will play a key role in translating business needs into robust data science solutions that run in production at scale. This position is ideal for someone who is passionate about using data science to drive real-world impact in the energy sector. Responsibilities & Skills:- ● Algorithm Development: Design, implement, and improve scalable forecasting and M&V algorithms using statistical, machine learning, and scientific methods. ● Scientific Analysis: Apply rigorous scientific techniques such as hypothesis testing, causal inference, and uncertainty quantification to support decision-making and model evaluation. ● Performance Optimization: Enhance the scalability and efficiency of forecasting and M&V pipelines through code and system improvements. ● Cross-Functional Collaboration: Work closely with engineers and SREs to resolve production issues, gather requirements, and support client needs. ● Mentorship & Knowledge Sharing: Mentor junior team members and educate the team on core scientific concepts in forecasting and M&V. ● Agile Participation: Engage in sprint planning, estimation, reviews, and retrospectives within a Scrum framework. Required Skills:- ● 4+ years of experience in a data science role with a focus on time-series forecasting and/or M&V. ● Strong programming skills in Python, with experience navigating and contributing to production codebases. ● Deep understanding of statistical and machine learning methods for time-series forecasting (e.g., ARIMA, regression models, deep learning). ● Experience with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn). ● Hands-on experience with large-scale data processing using PySpark or Dask. ● Strong SQL skills; experience with both RDS and NoSQL databases is advantageous. ● Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences. Qualifications ● Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Role Overview We are seeking a Machine Learning Engineer to join a high-impact team within Experian Consumer Services (ECS) , focused on building scalable, reusable AI capabilities that power personalized financial experiences for millions of users. This role is ideal for someone who thrives at the intersection of machine learning, software engineering, and product thinking . You will work closely with product managers , data scientists , platform engineers , and UX teams to understand consumer needs, define ML-driven solutions, and deliver production-grade AI services such as LLM-as-a-Service , enterprise knowledge orchestration , predictive intelligence APIs , and personalized decisioning engines . Success in this role requires not only strong technical skills but also the ability to evaluate trade-offs , select the right models and tools , and align ML solutions with business goals . You’ll be expected to own the full ML lifecycle—from problem framing and experimentation to deployment, monitoring, and continuous improvement. Key Responsibilities 1. Business-Aligned ML Engineering Collaborate with product and analytics teams to identify high-impact personalization and automation opportunities. Translate business problems into ML use cases, selecting appropriate modeling techniques (e.g., classification, ranking, recommendation, summarization). Evaluate trade-offs between accuracy, interpretability, latency, and scalability to guide model and architecture choices. 2. Model Development & Optimization Design and implement ML models using Python and frameworks like scikit-learn , XGBoost , TensorFlow , and PyTorch . Apply advanced techniques such as feature selection , regularization , hyperparameter tuning (Grid Search, Bayesian Optimization), and ensemble learning . Leverage transfer learning , fine-tuning , and prompt engineering to extend the capabilities of pre-trained LLMs. 3. LLM Integration & Extension Build and operationalize LLM-based services using Amazon Bedrock , LangChain , and vector databases (e.g., FAISS, Pinecone). Develop use cases such as intelligent summarization, contextual recommendations, and conversational personalization using retrieval-augmented generation (RAG) pipelines. 4. Productionization & Deployment Package and deploy models using Amazon SageMaker , SageMaker Inference Pipelines , AWS Lambda , and Kubernetes . Build containerized ML services and expose them via secure, versioned RESTful APIs using FastAPI or Flask . Integrate models into real-time and batch workflows, ensuring reliability and scalability. 5. Performance Monitoring & Governance Implement robust evaluation pipelines using metrics like AUC-ROC , F1-score , Precision/Recall , Lift , and RMSE , aligned with product KPIs. Monitor model drift, data quality, and prediction stability using tools like Evidently AI , SageMaker Model Monitor , and custom telemetry. Ensure model explainability, auditability, and compliance using MLflow , SageMaker Model Registry , SHAP , and LIME . 6. MLOps & Automation Automate end-to-end ML workflows using SageMaker Pipelines , Step Functions , and CI/CD tools like GitHub Actions , CodePipeline , and Terraform . Collaborate with platform engineers to ensure reproducibility, scalability, and adherence to security and privacy standards. 7. Core ML Algorithms & Techniques Supervised Learning : Logistic Regression, Decision Trees, Random Forests, Gradient Boosting (XGBoost, LightGBM) Unsupervised Learning : K-Means, DBSCAN, PCA, t-SNE Deep Learning : CNNs, RNNs, Transformers (BERT, GPT), Autoencoders Recommendation Systems : Matrix Factorization, Neural Collaborative Filtering, Hybrid Models NLP : Text Classification, Named Entity Recognition, Embeddings, RAG Time Series Forecasting : ARIMA, Prophet, LSTM Evaluation & Tuning : Cross-validation, Hyperparameter Optimization, A/B Testing Qualifications Generative AI Applied Machine Learning & Deep Learning Software Engineering Best Practices (SOLID, Design Patterns, CI/CD) Advanced Python Development Cloud-Native ML Engineering (AWS SageMaker, Bedrock, etc.) MLOps & Model Lifecycle Management

Job Title: Data Scientist Electric Load Forecasting Location: Mumbai / Pune Job Type: Full-time Experience: 3-5 years About the Role: We are seeking a highly motivated Data Scientist – Forecasting with a strong passion for energy, technology, and data-driven decision-making. In this role, you will be responsible for developing and refining energy load forecasting models , analyzing customer demand patterns , and improving forecasting accuracy using advanced time series analysis and machine learning techniques . Your insights will directly support risk management, operational planning, and strategic decision-making across the company. If you thrive in a fast-paced, dynamic environment and enjoy solving complex data science challenges , we’d love to hear from you! Key Responsibilities: Develop and enhance energy load forecasting models using time series forecasting , statistical modeling , and machine learning techniques . Analyze historical and real-time energy consumption data to identify trends and improve forecasting accuracy. Investigate discrepancies between forecasted and actual energy usage , providing actionable insights. Automate data pipelines and forecasting workflows to streamline processes across departments. Monitor day-over-day forecast variations and communicate key insights to stakeholders. Work closely with internal teams and external vendors to refine forecasting methodologies . Perform scenario analysis to assess seasonal patterns, anomalies, and market trends. Continuously optimize forecasting models , leveraging techniques like ARIMA, Prophet, LSTMs, and regression-based models . Qualifications & Skills: 3-5 years of experience in data science, preferably in energy load forecasting , demand prediction, or a related field. Strong expertise in time series analysis , forecasting algorithms , and statistical modeling . Proficiency in Python , with experience using libraries such as pandas, NumPy, scikit-learn, statsmodels, and TensorFlow/PyTorch . Experience working with SQL and handling large datasets. Hands-on experience with forecasting models like ARIMA, SARIMA, Prophet, LSTMs, XGBoost, and random forests . Familiarity with feature engineering, anomaly detection, and seasonality analysis . Strong analytical and problem-solving skills with a data-driven mindset . Excellent communication skills, with the ability to translate technical findings into business insights . Ability to work independently and collaboratively in a fast-paced, dynamic environment . Strong attention to detail, time management, and organizational skills. Preferred Qualifications (Nice to Have): Experience working with energy market data, smart meter analytics, or grid forecasting . Knowledge of cloud platforms (AWS) for deploying forecasting models . Experience with big data technologies such as Spark or Hadoop .

ARIMA VENTURES PRIVATE LIMITED JD for Cad Designer About the Company : Arima ventures Pvt Ltd is a leading real estate firm specializing and working as local partners for foreign and PE funds. We pride ourselves on our commitment to excellence and client satisfaction. We are seeking a skilled and motivated Legal Advisor to join our team and provide expert legal guidance in all aspects of real estate transactions and operations. Position: CAD Designer Experience: 2 – 3 years Salary: upto 3Lac Location: Chennai Job Type: Permanent /Full Time Responsibilities for this position include: · Experience with CAD systems (preferable AutoCAD) · Be an organized, proactive team player · Keep up to date with technology/ software · Show consistent follow-through and accountability · Possess high-level work standards · Development of layouts, screen separation for seasonal development · Assist with making color and layout comments to OSO on strike-offs · Maintenance of all cad reference libraries and archives · Create body cads for sales when needed · Undertake high volume and emergency design projects Skills: · AutoCAD · Profiles · Excel · Grading · Quantities · Sections · FMB Drawings · Approval Drawings Experience for CAD designer includes: · 2+ years of CAD Designer experience · Ability to draw CADs quickly and accurately in Illustrator when provided hand drawn sketches · Able to manipulate CAD drawings in Illustrator when not provided with sketch · Strong commitment to team environment dynamics with the ability to contribute expertise and follow leadership directives at appropriate times Educational Qualification · B.Tech, M.Tech, Bachelor Degree in Design, Diploma in Civil · Certifications: licenses or certifications CADD, CAD, C.E.T, GD&T, NICET, MEP, MMCD, CSWP, CSWE, CTS Contact Job Types: Full-time, Permanent Pay: ₹8,086.00 - ₹27,951.45 per month Work Location: In person

Send resumes to manju@nam-it.com. Its an immediate Hire. Job Title: Advanced Intelligence: Senior Data Scientist – Forecasting with Pharma is a must Location:Bengaluru Work Mode: 5 Days Onsite (Monday to Friday) FTC Project Note : 5-9years MAX Experience. Skills : Masters or Bachelor in Statistics, Economics, Data Sciences, Engineering, or quantitative related field. Minimum of 5 -9years of working experience as a Data Scientist in industry. Deep and broad knowledge of Data Science methods and tools including Simulation model building principles, Machine Learning, and best practices: Point Forecasting and Probabilistic Forecasting. Agent-based Simulation Model using Anylogic (Good to have). Any type of simulation model experience (Good to have). Statistical Forecasting: ARIMA, THETA, Exponential Smoothing ML-based Forecasting: GBM, LightGBM, XGBoost, Linear Regression DL-based Forecasting: DeepAR, NBEATS, LSTM, RNN Hierarchical Forecasting Cross-Validation: Rolling-window, Expanding-window, K-fold, Hold-out MLOps is also good to have skills. Exposure to LLM or GPT good to have skills. Manjunath Staffing Manager NAM Info Pvt Ltd, 29/2B-01, 1st Floor, K.R. Road, Banashankari 2nd Stage, Bangalore - 560070. +91 9148218735 / manju@nam-it.com Linkedin : (99+) M.S.Manju nath | LinkedIn Website: WWW.NAM-IT.COM USA | CANADA | INDIA MBE Certified Company , E Verify Company

Role Overview: As a Data Scientist at mPokket, you will be responsible for collaborating with the data science team to plan projects and build analytics models. Your strong problem-solving skills and proficiency in statistical analysis will be key in aligning our data products with our business goals. Your primary objective will be to enhance our products and business decisions through effective utilization of data. Key Responsibilities: - Oversee the data scientists" team and data specialists, providing guidance and support. - Educate, lead, and advise colleagues on innovative techniques and solutions. - Work closely with data and software engineers to implement scalable sciences and technologies company-wide. - Conceptualize, plan, and prioritize data projects in alignment with organizational objectives. - Develop and deploy analytic systems, predictive models, and explore new techniques. - Ensure that all data projects are in sync with the company's goals. Qualifications Required: - Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or a related technical field. - Minimum of 2 years of experience in solving analytical problems using quantitative approaches. - Proficiency in communicating quantitative analysis results effectively. - Knowledge of relational databases, SQL, and experience in at least one scripting language (PHP, Python, Perl, etc.). - Familiarity with statistical concepts such as hypothesis testing, regressions, and experience in manipulating data sets using statistical software (e.g., R, SAS) or other methods. Additional Details: mPokket is a company that values innovation and collaboration. The team culture encourages learning and growth, providing opportunities to work on cutting-edge technologies and projects that have a real impact on the business. Thank you for considering a career at mPokket.,

Role Overview: You will be a data scientist responsible for developing and deploying impactful data solutions using your expertise in machine learning and statistical analysis. Your role will involve designing and implementing predictive models, collaborating with stakeholders, and driving strategic decisions through experimentation and data-driven insights. Key Responsibilities: - Design and implement robust machine learning solutions including regression, classification, NLP, time series, and recommendation systems. - Evaluate and tune models using appropriate metrics like AUC, RMSE, precision/recall, etc. - Work on feature engineering, model interpretability, and performance optimization. - Partner with stakeholders to identify key opportunities where data science can drive business value. - Translate business problems into data science projects with clearly defined deliverables and success metrics. - Provide actionable recommendations based on data analysis and model outputs. - Conduct deep-dive exploratory analysis to uncover trends and insights. - Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness. - Design and analyze A/B tests and other experiments to support product and marketing decisions. - Automate data pipelines and dashboards for ongoing monitoring of model and business performance. Qualification Required: - Proficiency in Python and MySQL. - Experience with libraries/frameworks such as scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch. - Proficient in statistical techniques like hypothesis testing, regression analysis, and time-series analysis. - Familiarity with databases like PostgreSQL, BigQuery, and MySQL. - Knowledge of visualization tools like Plotly, Seaborn, and Matplotlib. - Experience in Gitlab, CI/CD pipelines is a plus. - Familiarity with cloud platforms like AWS, GCP, or Azure services is also advantageous. In case of any additional details of the company, they are not provided in the job description.,

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist, Product Data & Analytics Senior Data Scientist, Product Data & Analytics Our Vision: Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions by working closely with the business. We influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across the continents? Are you interested in proactively looking to improve data driven decisions for a global corporation? Role Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions. Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews. Contributes to the development of custom analyses and solutions, derives insights from extracted data to solve critical business questions. Activities include developing and creating predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations. Able to develop AI/ML capabilities, as needed on large volumes of data to support analytics and reporting needs across products, markets and services. Able to build end to end reusable, multi-purpose AI models to drive automated insights and recommendations. Leverage open and closed source technologies to solve business problems. Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets, and services. Support initiatives in developing predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations. Translates client/ stakeholder needs into technical analyses and/or custom solutions in collaboration with internal and external partners, derive insights and present findings and outcomes to clients/stakeholders to solve critical business questions. Create repeatable processes to support development of modelling and reporting Delegate and reviews work for junior level colleagues to ensure downstream applications and tools are not compromised or delayed. Serves as a mentor for junior-level colleagues, and develops talent via ongoing technical training, peer review etc. All About You 6-8 years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies. Data visualization tools (Tableau, Domo, and/or Power BI/similar tools) experience is a plus Experience with data validation, quality control and cleansing processes to new and existing data sources. Experience on Classical and Deep Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, NLP, etc. Experience on Deep Learning algorithm techniques, open-source tools and technologies, statistical tools, and programming environments such as Python, R, and Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning. Experience in automating and creating data pipeline via tools such as Alteryx, SSIS. Nifi is a plus Financial Institution or a Payments experience a plus Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills. Ownership of end-to-end Project Delivery/Risk Mitigation Virtual team management and manage stakeholders by influence Analytical/Problem Solving Able to prioritize and perform multiple tasks simultaneously Able to work across varying time zone. Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency. In depth technical knowledge, drive, and ability to learn new technologies. Must be able to interact with management, internal stakeholders Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must. Abide by Mastercard’s security policies and practices. Ensure the confidentiality and integrity of the information being accessed. Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. #AI Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) 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, LSTM’s GRU’s 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 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) 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, LSTM’s GRU’s 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 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Senior Data Scientist- R01552322 Data Scientist Primary Skills Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test Job requirements Langraph, agentic ai

At o9 Solutions, our mission is clear: to be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform, the o9 Digital Brain, we integrate global enterprises" siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn't stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We are looking for the brightest and most committed individuals to join us on our mission. Along the journey, we will provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. What you'll do for us: - Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations, etc.) to their real-world advantages/drawbacks. - Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA, etc.), anomaly detection, simulation and stochastic models, market intelligence, etc. - Use the latest advancements in AI/ML to solve business problems. - Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons. - Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed. - Develop or optimize modules to call web services for real-time integration with external systems. - Work collaboratively with Clients, Project Management, Solution Architects, Consultants, and Data Engineers to ensure successful delivery of o9 projects. What you'll have: - Experience: 4+ years of experience in time series forecasting at scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet, and custom parameter tuning. - Experience in applied analytical methods in the field of supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory, etc. - Should be from a statistical background. - Education: Bachelor's Degree in Computer Science, Mathematics, Statistics, Economics, Engineering, or related field. - Languages: Python and/or R for Data Science. - Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing. - Characteristics: Independent thinkers, strong presentation and communications skills. - We really value team spirit: Transparency and frequent communication are key. At o9, this is not limited by hierarchy, distance, or function. Nice to have: - Experience with SQL, databases, and ETL tools or similar is optional but preferred. - Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies. - Experience with Deep Learning frameworks such as Keras, Tensorflow, or PyTorch is preferable. - Experience in implementing planning applications will be a plus. - Understanding of Supply Chain Concepts will be preferable. - Master's Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field. What we'll do for you: - Competitive salary with stock options for eligible candidates. - Flat organization: With a very strong entrepreneurial culture (and no corporate politics). - Great people and unlimited fun at work. - Possibility to make a difference in a scale-up environment. - Opportunity to travel onsite in specific phases depending on project requirements. - Support network: Work with a team you can learn from every day. - Diversity: We pride ourselves on our international working environment. - Work-Life Balance: [Work-Life Balance Video] - Feel part of A team: [Team Video] How the process works: - Apply by clicking the button below. - You'll be contacted by our recruiter, who'll fill you in on all things at o9, give you some background about the role, and get to know you. They'll contact you either via video call or phone call - whatever you prefer. - During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we'd like to progress your application. - We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion. - Our recruiter will let you know if you're the successful candidate. Good luck! More about us: With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks, and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore, and Munich.,

Job Description Sr. Pricing Analyst (Pricing Science) About Advance Auto Parts Founded in Roanoke, VA in 1932, Advance Auto Parts is a leading automotive aftermarket retail parts provider that serves both professional installer and do-it-yourself Customers. As of July 13, 2019, Advance operated 4,912 stores and 150 Worldpac branches in the United States, Canada, Puerto Rico, and the U.S. Virgin Islands. The Company also serves 1,250 independently owned CARQUEST branded stores across these locations in addition to Mexico, the Bahamas, Turks, and Caicos and the British Virgin Islands. The company has a workforce of over 70,000 knowledgeable and experienced Team Members who are proud to provide outstanding service to their Customers, Communities, and each other every day. About Aap Global Capability Center We are continually innovating and seeking to elevate the Customer experience at each of our stores. For an organization of our size and reach, today, it has become more critical than ever, to identify synergies and build shared capabilities. The AAP Global Capability Center, located in Hyderabad, is a step in this strategic direction that enables us to access a larger talent pool, unlock operational efficiencies and increase levels of collaboration. About Pricing Team The Pricing team is growing its presence in India to help expand our technical, brand, and analytical capabilities across the enterprise. This is a fantastic opportunity to join a team of highly specialized and focused individuals dedicated to driving our brand marketing and eCommerce outcomes in a collaborative environment. Join the Pricing team and start reimagining the future of automotive retail. Disrupt the way consumers buy Auto Parts and join a fast-growing eCommerce team to take on the industry’s biggest challenges. The focus here is on our customers -- how we make them happy, earn their trust, and create loyalty. We want to expand our best in class data science capability to predict consumer behavior and ensure we are getting the right return on our investments. Ultimately, the Pricing team is responsible for rapidly developing and deploying solutions that will drive the customer experience and, ultimately, enhance our bottom line as an organization. Roles And Responsibilities Independently develop Analytics solutions / predictive model for pricing and promotions e.g. promotions forecasting, price elasticity models, customer segmentation, discount optimization. Perform statistical analysis for hypothesis testing e.g. A/B testing to predict the impact of pricing changes on test skus/regions. Collaborate with the pricing strategy and insights team to conceptualize and develop the prototype of analytics solutions and partner with Enterprise Data Engineering / Data science teams to scale up and deploy the solutions for enabling optimized pricing decisions Involve in discussions with stakeholders and gather requirements showcasing the analysis, interpretations & findings and scale the solutions to next level Bring in the thought process and independently involve in designing the approach, test and build the algorithm framework, and implement models Forecasting of demand drivers using Structural Time Series and Naïve Bayes approach and also by analyzing the impact of micro-economics factors on category/region performance Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information for promotional strategies Requirements 4 to 8 years of relevant experience as Sr. data scientist or pricing scientist in retail/ecom analytics in similar industry and business function. Masters/PhD in management science, data science, economics, mathematics from reputed institutes is a must. Should have strong fundamental understanding of price elasticity, price-demand curves, econometrics and optimizations techniques. Strong applied knowledge of machine learning covering the landscape of classification, regression and with in-depth interpretation of outcomes for pricing and promotions Advance level proficiency in python/R, PowerBI, Snowflake/SQL and cloud technologies Ability to effectively communicate and explain the analytical model approach and output with the business stakeholders Experience of developing a powerful storyline to provide meaningful insights for senior leadership consumption Applicants should have strong fundamental understanding and research experience in Data Wrangling, Statistical Analysis, Predictive Modeling using Machine Learning (Regression and Classification), Clusters Segmentation, Time Series Forecasting (ARIMA, SARIMAX) etc. California Residents Click Below For Privacy Notice https://jobs.advanceautoparts.com/us/en/disclosures We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class.

Ready to work 24*7 Excellent English required Near Thane location only candidates required Excellent comms skills

Thane Location 100% Voice 24*7 rotational shifts 2 rotational week offs Hsc + minimum 6 months any exp Grad fresher (hard copy of final year marksheets mandate) Or Grad + min 6 months any exp Required Candidate profile Salary 20k- 24k in hand (based on qualification and/or experience) HR-amcat-ops Follow Thane IBU boundaries .

Thane Location 100% Voice 24*7 rotational shifts 2 rotational week offs Hsc + minimum 6 months any exp Grad fresher (hard copy of final year marksheets mandate) Or Grad + min 6 months any exp Required Candidate profile Salary 20k- 24k in hand (based on qualification and/or experience) HR-amcat-ops Follow Thane IBU boundaries .

Thane Location 100% Voice 24*7 rotational shifts 2 rotational week offs Hsc + minimum 6 months any exp Grad fresher (hard copy of final year marksheets mandate) Or Grad + min 6 months any exp Required Candidate profile Salary 20k- 24k in hand (based on qualification and/or experience) HR-amcat-ops Follow Thane IBU boundaries .

Ready to work 24*7 Excellent English required Near Thane location only candidates required Excellent comms skills

Thane Location 100% Voice 24*7 rotational shifts 2 rotational week offs Hsc + minimum 6 months any exp Grad fresher (hard copy of final year marksheets mandate) Or Grad + min 6 months any exp Required Candidate profile Salary 20k- 24k in hand (based on qualification and/or experience) HR-amcat-ops Follow Thane IBU boundaries .

Thane Location 100% Voice 24*7 rotational shifts 2 rotational week offs Hsc + minimum 6 months any exp Grad fresher (hard copy of final year marksheets mandate) Or Grad + min 6 months any exp Required Candidate profile Salary 20k- 24k in hand (based on qualification and/or experience) HR-amcat-ops Follow Thane IBU boundaries .