172 Decision Tree Jobs

Support business and analytics stakeholders Solve open-ended,business problems basic to advanced analytics hands-on to derive insights from data and/or automate critical processes using analytical techniques Required Candidate profile hands on Exp in SQL and SAS with Open Source Tools build queries for data extraction hands-on exp of latest Analytics Data Visualisation tools Exp in credit card or financial services industry

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.,

As a Manager, Analytics - H&W Platform at Synchrony, your role will involve supporting the Health & Wellness platform business and analytics stakeholders in making informed decisions through data, analytics, and insights. You will proactively discover, lead, and solve open-ended/ambiguous business problems using basic to advanced analytics/data science tools and techniques. Your responsibilities will include deriving insights from data, automating critical processes, ensuring timely delivery, accuracy, and documentation, and contributing to internal initiatives and special projects as assigned. Key Responsibilities: - Support Health & Wellness platform business and analytics stakeholders in making informed decisions through data, analytics, and insights - Proactively discover, lead, and solve open-ended/ambiguous business problems using basic to advanced analytics/data science tools and techniques - Work hands-on to derive insights from data, automate critical processes, and provide actionable recommendations - Ensure timely delivery, accuracy, and documentation in line with audit procedures - Contribute to internal initiatives, perform other duties, and special projects as assigned Qualifications Required: - Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience - Minimum 2+ years of hands-on SQL/SAS programming experience & ability to leverage algorithms like Decision Tree, Regression - Experience with Business Intelligence and Reporting tools such as Tableau/Power BI - Experience in campaign performance measurement, customer targeting framework, and synergy of multiple functions - Strong communication skills to effectively lead analytics projects with senior stakeholders - Experience in the credit card or financial services industry Desired Skills/Knowledge: - Innovative mindset for improving capabilities and discovering new ones - Excellent SQL skills - Ability to manage multiple tasks with conflicting priorities As a Manager in the Analytics - H&W Platform role at Synchrony, you will play a crucial part in supporting the Health & Wellness platform business by providing strategic and scalable solutions, collaborating with functional teams, delivering high-impact projects, and working closely with analytics teams. Your role will involve hands-on problem-solving, delivering actionable insights, and ensuring effective decision-making through data analysis and automation of critical processes. Your expertise in analytics/data science tools, BI and reporting tools, and communication skills will be key in driving business growth and success.,

About Info Edge: InfoEdge's mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. * About BU: Corporate Function * Required Educational Qualification: PhD/ MTech / BTech with relevant experience from Tier 1 Campus only. * Desired Experience: 0 - 5 Years * Job Objective: You will be building innovative Machine Learning solutions for vital and complex business problems. *Fill this form to proceed further: ( https://tinyurl.com/FAIscientist ) Job Description: As AI Scientist you will: Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images. Identify potential new business problems that can be solved through machine learning. Ideate, formulate, create metrics and execute on such problems and get buy in from business. Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences. Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information. Identify the appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommendation systems and information retrieval solutions. Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Participate in external forums /discussions, publish research papers, keep up-to-date on latest publications and build external/internal networks. Required Skills: Strong fundamental understanding and research experience in machine learning/Deep Learning/NLP/Information Retrieval/Artificial Intelligence areas. Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning. Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. An excellent problem solving skills with a research oriented approach. Ability to capture, manage, create pipelines and process Big Data. Desired Skills: Ability to understand Business challenges and define solutions aligned to the needs.

About The Role Skill required: Insight Engine - Analytics Insights Designation: Analytics and Modeling Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We are seeking a Machine Learning Data Scientist with 2 to 3 years of hands-on experience to join our growing Insights and Analytics team. The ideal candidate will be proficient in building ML models using supervised and unsupervised learning techniques, comfortable working with Python-based ML libraries, and experienced in data preparation workflows. Familiarity with Microsofts AI/ML ecosystem is a strong advantage. What are we looking for? Preferred (Strong Advantage):Hands-on experience with Azure Machine Learning Studio and Automated ML.Familiarity with Azure Cognitive Services for vision, language, and decision tasks.Experience working with Microsoft Fabric and Synapse ML integration. Qualifications:Bachelor s or Masters degree in Computer Science, Data Science, Engineering, or related field.23 years of experience in applied machine learning and data science projects.Solid understanding of model training, validation, and deployment workflows.Experience working with version control (e.g., Git) and collaborative development environments.Nice to Have:Familiarity with tools that help automate and manage the process of building, testing, and deploying machine learning models (MLOps and CI/CD pipelines).Basic understanding of cloud-based architecture and APIs. Roles and Responsibilities: Develop and implement machine learning models using supervised and unsupervised techniques.Apply appropriate machine learning algorithms for prediction tasks (e.g., linear regression, decision trees, neural networks) and data segmentation (e.g., k-means clustering, hierarchical clustering) based on project needs.Perform data preprocessing, feature engineering, and model evaluation.Use Python libraries such as scikit-learn, TensorFlow, and others to build and test models.Analyse and manipulate structured datasets using notebooks (e.g., Jupyter).Collaborate with data engineers, analysts, and product teams to translate business problems into ML solutions.Document model performance, data flows, and process pipelines. Qualification Any Graduation

We are hiring an ML Engineer/ML Ops Engineer with 5+ years’ experience to design scalable ML pipelines, deploy production-ready models, and implement CI/CD for enterprise AI systems. Strong skills in ML algorithms, MLOps, & data engineering required. Required Candidate profile Experienced ML/MLOps Engineer with expertise in ML pipelines,scalable model deployment,CI/CD,automation, & advanced machine learning algorithms.Strong background in software engineering &data systems.

Overview Provide advanced analytics support for the LATAM Sector in the Insights Services Center; a part of the broader Global Business Services function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for LATAM to drive deeper understanding of business performance drivers both at the National / Regional / State /City level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of LATAM. Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effectively establishing business process and communication methods with teams they support; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the LATAM Business Service Service Centero Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisionso Identify, assess, and visualize key market share drivers for LATAM Categories, as a growth catalyst to prioritize and enable brand planning across portfolioo Support LATAM regions annual SKU optimization process for the portfolio; analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targetso Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capability.o Develop, maintain, and apply statistical models to business questions - including forecasting, price sensitivities/corridors, drivers analysis, market structure, etc.o Forecast market growth leveraging (PGM an internal tool) on an annual basis to inform PEPs long-term expectations for growtho Collate and format consumer learnings from custom insight outputs, sales performace reporting, industry periodicals, and social listening resources, etc to help inform and develop future consumer insights strategies o Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Support relationships with the key end-user stakeholders in LATAM and region officeso Own flawless execution of analytics exerciseso Responsible for managing multiple priorities; being able to manage deadlines and deliverableso Lead communication with Business Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projectso Deliver outputs in line with the agreed timelines and formatso Flag and monitor any business risks related to delivering the requested outputso Partner with stakeholders and service center leadership to develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operationso Improve existing processes based on frequent Business Partner & end-user feedback loop Qualifications 6+ years of experience in the field of analytics Ability to convert insights into story that answers critical business questions. Hands on in coding in tools like R and Python ( both or at least Hands on in MS excel(advanced) and SQL Understanding of data structures, adept in data cleaning, structure, and aggregation as per need End-to-end project management. Expert of statistical techniques like regression, forecasting, decision trees and modelling process- concept and coding. Ability to design model architecture and translate business problem into analytical problem Ability to visualize data set and identify KPIs that will help decision making. Good PowerPoint skills. Experience in ML techniques, cloud compatible tech stacks, understanding of data pipeline creation preferable

Overview Provide advanced analytics support for the APAC Sector in the Insights Services Center; a part of the broader Global Capability Center function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for APAC to drive deeper understanding of business performance drivers both at the National / Regional / Zonal or Channel level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of APAC. Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Beverages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effectively establishing business process and communication methods with teams they support; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Functional Responsibilities: Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the APAC Business Service Service Center Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisions Identify, assess, and visualize key market share drivers for APAC Categories, as a growth catalyst to prioritize and enable brand planning across portfolio Support APAC regions annual SKU optimization process for the portfolio; analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targets Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capability. Develop, maintain, and apply statistical models to business questions - including forecasting, price sensitivities/corridors, drivers analysis, market structure, etc. Forecast market growth leveraging (PGM an internal tool) on an annual basis to inform PEPs long-term expectations for growth Collate and format consumer learnings from custom insight outputs, sales performace reporting, industry periodicals, and social listening resources, etc to help inform and develop future consumer insights strategies Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Support relationships with the key end-user stakeholders in APAC and region offices Own flawless execution of analytics exercises Responsible for managing multiple priorities; being able to manage deadlines and deliverables Lead communication with Business Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects Deliver outputs in line with the agreed timelines and formats Flag and monitor any business risks related to delivering the requested outputs Partner with stakeholders and service center leadership to develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operations Improve existing processes based on frequent Business Partner & end-user feedback loop People and Project Management Responsibilities Promotes cross functional seamless communication, sharing know how and creating same quality of experience across sector markets Qualifications 4 to 7 years of experience in the field of analytics Ability to convert insights into story that answers critical business questions. Hands on in coding in tools like R and Python ( both or at least one ) Hands on in MS excel(advanced) and SQL Understanding of data structures, adept in data cleaning, structure, and aggregation as per need End-to-end project management. Expert of statistical techniques like regression, forecasting, decision trees and modelling process- concept and coding. Ability to design model architecture and translate business problem into analytical problem Ability to visualize data set and identify KPIs that will help decision making. Expert on Point of Sale (Nielsen, IRI, SPINs, One Click Retail etc.) databases/metrics a must & good understanding of FMCG market structures, knowledge of media. Good PowerPoint skills. Experience in ML techniques, cloud compatible tech stacks, understanding of data pipeline creation preferable

We are Hiring for a Leading Pharmaceutical company. Job Role:- Data Scientist. Experience:- 5 to 10 years Notice Period:- Immediate joiners/15days are only considered. Job Location:- Navi Mumbai- Airoli. Qualification: B. Tech/M. Tech/MCA JOB SUMMARY/OVERVIEW Role intended for management of Data and Digital projects of Advanced analytics, data initiatives, other AA/ML based solution Roles and Responsibilities Capturing requirements of projects related to Advanced analytics and Data Science Initiate and drive discussions of potential Data Science solutions with stakeholders of different business verticals Manage multiple projects and corresponding stakeholders ensuring timely and high-quality deliverables. Deliver components of digital business initiatives that identify, design, and implement technology solutions based on AA/ML. Post go-live monitoring and support to the end-to-end processes. Capturing and tracking functional requirements from business functions Train junior Data Science team members Soft-skills required Excellent problem-solving skills Analytical bent of mind, should be able to work with situation with ambiguity and come up with rational solutions Project management experience, should be able to quickly decide and prioritize actions to high quality and time bound deliverables Demonstrated hands-on experience in Python/R Hands-on experience of working on numpy, pandas, seaborn, matplotlib, sklearn, etc is mandatory Knowledge about Machine Learning models (Classification & Regression) is mandatory Working knowledge of wide array of generally used models in classification and regression such as Decision Tree, Random Forest, Bagging, Boosting. Experience of Pharma will be an advantage but not mandatory.

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.

We are looking for a skilled professional to join our team. Total Years of Experience: We require candidates with 3 to 6 years of experience. Technical Skills: Strong SQL knowledge is essential. Candidates must also possess proven experience in building Machine Learning Classification and Regression Models Job Description: Data Scientist We're looking for a skilled and experienced Data Scientist to join our dynamic team . If you have a passion for fighting fraud and a strong background in machine learning, we encourage you to apply! What You'll Do: Develop, implement, and maintain advanced machine learning models for fraud detection, specifically focusing on Payment Fraud Risk and Merchant Fraud Risk. Utilize your strong SQL knowledge to extract, manipulate, and analyze large datasets. Collaborate with cross-functional teams to identify fraud patterns and enhance fraud prevention strategies. Contribute to the continuous improvement of our fraud detection systems and methodologies. What We're Looking For: Experience: 3-5 years of hands-on experience in data science Technical Prowess: Strong proficiency in Excel, SQL, PySpark and Python Demonstrated experience in building and deploying Machine Learning Classification and Regression Models, particularly for fraud detection.

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

Gurucul is seeking an innovative analytics thinker for the role of Data Scientist to be part of Gurucul?s Data Science team. The candidate will be a key individual contributor, responsible for the design and development of predictive models using the latest technologies in machine learning. The ideal candidate will have previous experience in the cybersecurity domain, analyzing large data sets to develop actionable analytics solutions. The candidate must also have experience in developing business intelligence solutions to improve operational efficiency, and in using data visualization tools to help in building visualization ideas to present the results to management teams. The individual will be responsible for the creation of data models that can be applied for a variety of cybersecurity and fraud use cases. The ideal candidate must be able to pick suitable analytic techniques to address the problem and demonstrate expertise in using various algorithms and other modeling techniques. The individual will report directly to Gurucul?s CTO. This position will also provide candidates the opportunity to interact with some of the best brains in information security space, such as Fortune 500 C-level executives, showcase their skills and passion as a Data Scientist in the cybersecurity analytics field. RESPONSIBILITIES Architect, develop, and deploy state-of-the-art predictive and generative AI models for cybersecurity and fraud detection Design and implement end-to-end LLM-based pipelines?including prompt engineering, embedding generation, vector search, and retrieval-augmented generation. Design and deploy autonomous AI agents that orchestrate end-to-end workflows-automating threat hunting, incident triage etc. using custom agent architecture. Build robust data-processing workflows that handle high-velocity streaming and batch data (billions of daily events) Select and tune appropriate supervised and unsupervised algorithms (e.g., classification, clustering, anomaly detection) to address diverse security challenges Collaborate with offshore and onshore engineering teams to integrate models into production systems and APIs Rapidly iterate with product managers and stakeholders on prototypes, proofs-of-concept, and interactive dashboards Translate complex analyses into clear data visualizations and executive summaries using BI and front-end visualization tools Mentor junior data scientists and share best practices in model development, evaluation, and deployment Requirements MSMS or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field 5+ years of hands-on experience in applied analytics, predictive modeling, or machine learning?ideally within a cybersecurity or financial-fraud context Proven track record with both classical ML (e.g., SVMs, decision trees, regression, clustering) and modern deep-learning/LLM frameworks Practical experience designing and deploying LLM-driven solutions (prompt design, fine-tuning, embeddings, vector stores, RAG, MCP Server). Knowledge of finetuning LLM models and MCP Server is a plus. Proven experience designing, developing, and deploying autonomous AI agents and orchestration workflows (e.g., with LangChain or similar frameworks). Strong programming skills in Python (including popular ML libraries), plus experience with UNIX scripting (Bash, Perl) Proven expertise in MySQL, including advanced query authoring, performance tuning (indexes, EXPLAIN plans), stored-procedure development, and database schema design. Familiarity with big-data ecosystems (e.g., Spark, Hadoop) and multiple database technologies Solid understanding of reinforcement-learning concepts is a plus Excellent problem-solving skills, initiative, and ability to juggle multiple projects in a fast-paced environment Exceptional oral and written communication skills, with the ability to convey technical concepts to non-technical audiences

Job Description : You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You have excellent understanding of web frameworks for quickly showcasing the features and functionalities of the solution. You enjoy collaborating with other data scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have: • 8+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field • 5+ years of hands-on ML modeling/development experience • Solid understanding of data analysis and statistical modeling. • Solid experience with web frameworks like Streamlit, Flask, Django etc • Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. • Demonstrated track records in experimental design and executions • Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions • Strong programming skills in Python • Solid background in algorithms and a range of ML models • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level • Excellent analytical and problem-solving abilities with superb attention to detail • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Job Description : You are pa ssion ate about cutting-edge technology and keen on apply ing GenAI algori t hms and approaches . Yo u a re analytical ly driven, inte l lectually cur iou s, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You are mostly an Individual Contributor who enjoy s crack ing hard to solve problems with recent LLMs and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of expe rienc e, or B achel or's degree with 10+ years of experience in Computer Science, Engineering, A pplied mathem atics or related field 7+ years of hands-on ML modeling/development experience Experience in creating GenAI and Agentic AI applications Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. Demonstrated track records in experimental design and executions Strong ski lls i n Python , PyTorch , Langchain , LangGraph etc Solid background in algorithms and a range of ML models Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities wit h superb attention to detail Proven leadership in providing tec hnical le adership and mentoring to data scientists and strong management skills with ability to monitor /track performance for enterprise success Location: This position can be based in any of the following locations: Chennai, Gurgaon For internal use only: R000107556

Role & responsibilities We seek Data Scientist to join the Forecasting & Planning Research team. The data scientists will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. They are also responsible for moving the models to productionenvironment and automate with appropriate drift monitoring and model improvement process. They will need to collaborate effectively with internal stakeholders and cross-functional teams to understand requirements, solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidates should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidates should be an effective communicator capable of independently driving issues to resolution, communicating insights to non-technical audiences and documenting the artifacts. This is a high impact role with goals that directly impacts the bottom line of the business. Preferred candidate profile Key Deliverables: • Development of accurate and reliable workforce forecasting models. • Automate training and forecasting by deploying data and model pipelines on AWS cloud infrastructure with drift monitoring with emphasis on accuracy and speed • Building Project launch impact estimates model using tools such as of analytics, time series, probability and deep learning. • Reduce MAPE (forecasting accuracy) across different risk functions. • Automate data ingestion for Project inputs from Excel to forecasting models • Improved data quality through rigorous cleaning and transformation processes and automating them. • Clear documentation of the code and artifacts. • Actionable insights derived from data analysis to support strategic decisions. • Experiment with latest forecasting algorithms & processes to optimize existing modeling infrastructure. Qualification Needed: • 5+ years of data scientist experience, preferably with Forecasting systems & Operational Research • 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) experience • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience • 3+ years of AWS cloud experience building end-to-end products deploy, monitor and update them using tools such as Amazon SageMaker pipelines and docker containers. • Experience applying theoretical models in an applied environment • Understanding of demand forecasting & impact on operational capacity planning • Knowledge of time series models and deep learning for time series are an asset.

The role of AVP, Analytics - H&W Platform at Synchrony is a key position within the India Analytics Hub (IAH) that focuses on supporting and growing the Health & Wellness platform business. As an individual contributor, you will collaborate with various functional teams to deliver strategic and scalable solutions, work on high-impact projects, and provide actionable insights that drive business growth. Your role will involve leveraging data, analytics, and insights to make informed decisions, solve complex business problems, and automate critical processes using advanced analytics and data science tools. Your responsibilities will include supporting Health & Wellness platform business stakeholders, deriving insights from data, leading projects with a focus on timely delivery and accuracy, contributing to internal initiatives, and demonstrating strong project management skills. You will be required to have a degree in Statistics, Mathematics, Economics, Engineering, or a related field with at least 4 years of hands-on experience in analytics/data science, or 6+ years of relevant experience without a degree. Proficiency in SQL/SAS programming, experience with Business Intelligence and Reporting tools like Tableau/Power BI, and a background in the credit card or financial services industry will be essential for this role. The ideal candidate will possess strong communication skills, the ability to lead analytics projects with senior stakeholders, and manage tasks effectively in a fast-paced environment. Additionally, you should have a proven track record of designing and leading strategic projects, along with the capability to work independently and as part of a broader team. Desired skills include superior thought leadership, innovative solutioning abilities, and a mindset focused on continuous improvement and discovery of new capabilities. This role offers Enhanced Flexibility and Choice in work hours, with availability required between 06:00 AM - 11:30 AM Eastern Time for meetings with India and US teams. Exceptions may apply based on business needs. Internal applicants should ensure they meet the eligibility criteria, inform their manager or HRM before applying, update their professional profile, and have an updated resume in Word or PDF format. Employees at grade/level 10 or above with 18 months in the organization and 12 months in their current role are eligible to apply. Join Synchrony's Analytics team and be part of a dynamic organization that values innovation, collaboration, and professional growth.,

Collect, clean, and analyze large datasets from multiple sources. Build and deploy machine learning and statistical models to solve business challenges. Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.

What Data Science contributes to Cardinal Health The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extract knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. Qualifications 2-4 years of experience, preferred Bachelor's degree in related field, or equivalent work experience, preferred Technical support and enhancements for GenAI pipelines with RAG Assist with prompt engineering to improve performance Monitor system performance, logs, retrieval quality and prompt-effectiveness Provide on-call support during incidents What is expected of you and others at this level Applies working knowledge in the application of concepts, principles and technical capabilities to perform varied tasks Works on projects of moderate scope and complexity Identifies possible solutions to a variety of technical problems and takes action to resolve. Apply judgment within defined parameters Receives general guidance and may receive more detailed instruction on new projects Work reviewed for sound reasoning and accuracy

Job Description: Looking for a AI/ML architect with 8+ years of experience. Core Skills: Hands-on experience in Machine Learning across both supervised and unsupervised techniques: Forecasting, Classification, Regression, Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Gradient algorithms, etc. Exposure to pre-trained models, LLMs (Large Language Models), and GenAI technologies. Solid foundation in statistical techniques: ANOVA, Hypothesis Testing, Chi-Square tests. Experience managing ML model lifecycle end-to-end in production: from problem framing, data engineering, model development, training, deployment, and improvement of ML projects. MLOps, for monitoring and optimization. Have comprehensive experience in architecting, designing, and developing multiple ML production solutions. Min 5 successful AI/ML project deliveries with tangible business outcomes. Ability to analyze model performance and derive prescriptive ML or business actions from insights. Proficiency in Python and popular analytical libraries: Pandas, Scikit-learn, Seaborn, Matplotlib, NumPy, NLTK etc. Strong understanding of RDBMS technologies: MySQL, Oracle, MS SQL. Expert in NLP techniques. Experience working with AI cloud platforms (Google Cloud/ AWS/ Azure) is required. Familiarity with best practices for benchmarking, validation, and testing AI solutions for production. Expertise in optimizing AI/ML solutions for both accuracy and performance. Engage in pre-sales activities, including solutioning, scoping, estimation, and proposal development for AI/ML and GenAI projects. Providing consulting and advisory services to customer AI/ML Added Skills: Practical knowledge of Neural Networks / Deep Learning frameworks like TensorFlow, Keras. Familiarity with HTML/CSS for creating simple web interfaces or dashboards. Expert in Azure and AWS AI Services. And open-source models, Hugging Face LLM AWS AI Services: AWS Bedrock, Amazon SageMaker, AWS Textract Azure AI Services: Azure AI Studio, Azure OpenAI, ML Studio, Cognitive Service, Azure Document Intelligence Possess deep knowledge in Text Embedding and Vector databases (AI Search, Pinecone, Weaviate, etc.)

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 4 to 6 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 4 to 6 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.

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 4 to 6 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.

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 4 to 6 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.

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 4 to 6 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.

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 4 to 6 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.