594 Predictive Modeling Jobs - Page 12

You should have relevant experience of 5+ years in the industry with Consulting experience in Salesforce or any CRM platform . Must have Sales and Service domain experience. Domain experience in Fiber / EV / Tower / 5G is good to have You demonstrate autonomy, rigor, creativity and enjoy teamwork You have a good sense of customer service and good analytical and synthesis skills Should have the ability to demonstrate Empathy, Sharing, Ingenuity and Humility Stakeholder management You will be involved in several stages of the implementation project. Ability to prepare and conduct business workshops with international customers for gathering business requirements Ability to write User Stories, Functional requirements and test cases You will be required to perform prototype solution on the Salesforce platform during the design phase You will be conducting Design workshop with client to validate design options in the Salesforce platform. Ability to convert requirements into technical aspects like data modelling, point and click configuration in Salesforce platform. Key Responsibilities: Being evaluated on capability to understand customer needs, to provide value propositions to address those needs, to analyze and solve poorly defined problems. The role demands principled thinking, well-honed product marketing judgment, > Job Title Business Analyst/Consulting Relevant experience 5+ years in the industry with Consulting experience in Salesforce or any CRM platform.

DS Key Responsibilities Combine expertise in mathematics statistics computer science and domain knowledge to create AIML models to solve various business challenges Collaborate closely with the AI Technical Manager and GCC Petro technical professionals and data engineers to integrate models into the business framework Identify and frame opportunities to apply advanced analytics modeling and related technologies to data to help businesses gain insight and improve decision making workflow and automation Understand and communicate the value of proposed opportunity with team members and other stakeholders Identify needed data and appropriate technology to solve identified business challenges Clean data and develop and test models Establish the life cycle management process for models Provide technical mentoring in modeling and analytics technologies the specifics of the modeling process and general consulting skills Drive innovation in AIML to enhance capabilities in data driven decision making Aligns with team on shared goals and outcomes recognizes others contributions and work collaboratively seek diverse perspectives Takes actions to develop self and others beyond existing skillset Encourages innovative ideas adapts to change and changing technologies Understand and communicate data insights and model behaviors to stakeholders with varying levels of technical expertise Required Qualification Minimum 5 years of experience in designing and developing AIML models and or various optimization algorithms 5 to 9 years of experience Solid foundation in mathematics probability and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies eg supervised and unsupervised learning statistics data science model development Proficiency in Python and working knowledge of cloud AIML services Azure Machine Learning and Databricks preferred Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain eg upstream midstream or downstream and associated business workflows Proven ability to frame data science opportunities leverage standard foundational tools and Azure services to perform exploratory data analysis for purposes of data cleaning and discovery visualize data and identify actions to reach needed results Ability to quickly assess current state and apply technical concepts across cross functional business workflows Experience with driving successful execution deliverables and accountabilities to meet quality and schedule goals Ability to translate complex data into actionable insights that drive business val Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels across functional and geographic boundaries to achieve desired outcomes Demonstrated ability to adjust behavior based on feedback and provide feedback to other Team oriented mindset with effective communication skills and the ability to work collaboratively Strong problem solving skills and attention to detail Excellent communication and collaboration skills

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

3 - 6 years of experience performing quantitative analysis in the financial services industry preferred but not required. Skilled "hands-on" user of SAS, R, MATLAB, SQL, and/or other statistically programming language required.

Skills & Qualifications Bachelor/masters in computer science or relevant fields. 3+ years of relevant experience. Strong sense of ownership. Experience in building and scaling microservices. Strong problem-solving skills, technical troubleshooting and diagnosing. Expected to be a role model for young engineers, have a strong sense of code quality and enforce code quality within the team. Excellent understanding of Debugging performance and optimization techniques. Experience in JavaScript, HTML & CSS, React js Experience in developing any large-scale Experience in cloud technologies. Demonstrated ability to deliver in a fast-paced environment. Good Communication Skills.

Key Responsibilities: Design and implement machine learning models to solve real-world business problems. Work closely with stakeholders to gather requirements, define KPIs, and deliver data-driven recommendations. Analyze large datasets using SQL , Python (Pandas, NumPy, Scikit-learn, etc.) , and derive insights. Create data visualizations and dashboards using tools like Power BI, Tableau , or Matplotlib/Seaborn . Perform A/B testing, statistical modeling, and predictive analytics. Present findings clearly to technical and non-technical stakeholders through visual storytelling. Required Skills: Strong programming experience in Python for data manipulation and modeling. Expertise in SQL for querying relational databases. Proficiency in machine learning techniques (classification, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Plotly. Solid understanding of statistics and data interpretation. Excellent communication and stakeholder management skills.

Ripple Healthcare is looking for User Research Intern to join our dynamic team and embark on a rewarding career journey As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects Conduct research studies and analyze data using a variety of research methods and tools Analyze and interpret data using statistical software and other analytical tools Prepare reports and presentations summarizing research findings and conclusions Conduct in depth research to gather insights into user behavior and preferences. Analyze data to inform product development and improve user experiences.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Job Summary: We are seeking a skilled Data Scientist with experience in both Python and SAS to join our high-performing analytics team. The ideal candidate will be adept at developing predictive models, analyzing large datasets, and delivering actionable insights using modern data science tools and platforms. Key Responsibilities: Design and develop machine learning and statistical models using Python and SAS. Conduct data exploration, preprocessing, and analysis on structured and unstructured datasets. Use SAS (Base, Advanced, Enterprise Guide, Visual Analytics, or SAS Viya) for reporting, data preparation, and statistical modeling as required. Work with large-scale datasets using Python libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow. Translate business requirements into technical solutions in collaboration with cross-functional teams. Build data pipelines and automate workflows for data analysis and model deployment. Present data-driven insights through visualizations using tools such as Seaborn, Plotly, Matplotlib, or SAS VA. Document models, code, and methodologies for reproducibility and auditability. Qualifications: 2-10 years of experience in data science, machine learning, or advanced analytics. Proficient in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SAS (Base, Advanced, DI, VA, or Viya). Strong knowledge of SQL and experience working with relational databases. Solid foundation in statistical analysis, hypothesis testing, regression, classification, clustering, etc. Experience in building, evaluating, and deploying predictive models. Excellent communication skills and ability to convey complex findings to non-technical stakeholders. Preferred Qualifications : Experience with big data tools (Spark, Hive, Hadoop). Exposure to MLOps tools (MLflow, Airflow, Docker, etc.). Familiarity with cloud platforms (AWS, Azure, GCP). Understanding of SAS integration with cloud or open-source tools. Experience with NLP, image recognition, or deep learning frameworks. Location: Pan India- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

USV, a top-15 pharmaceutical company in India, excels in the diabetes and cardio sectors. We have a presence in over 65 countries with our dynamic team of over 7,000 across generations. Our commitment to brand building is evident in our popular products like Glycomet GP, Ecosprin AV, Jalra, Tazloc, Glynase, MVI and more. Join USV and be part of our journey as we continue to innovate, transform lives, and shape the future of healthcare. Job Title: Business Intelligence Manager Designation: Business Intelligence Manager (Individual Contributor role) Department/Function: Sales & Marketing Reporting To: VP - Sales & Marketing Direct Reportees: Nil Location: HO @ Govandi, Mumbai Working - 5 Days with alternate Saturdays i.e; 1st, 3rd & 5th from Office Job Summary : The Business Intelligence Manager will be instrumental in driving business growth and leading strategic improvement initiatives within the pharmaceutical organization. This role entails close collaboration with cross-functional teams to identify and analyze business needs, uncover opportunities, and develop data-driven solutions. The position focuses on leveraging advanced analytics and actionable insights to enhance decision-making, optimize processes, and achieve impactful business outcomes. Key Responsibilities Business Needs Assessment: Collaborate with stakeholders to thoroughly understand and assess business needs, translating them into clear, actionable requirements for innovative solutions. Advanced Data Analysis: Analyze large and complex datasets using advanced tools to uncover trends, generate actionable insights, and drive informed business decisions. Solution Design and Development: Create compelling business cases and proposals for solutions, including process enhancements, technology integrations, and organizational optimizations to support business growth. Stakeholder Collaboration: Build and maintain strong communication channels with stakeholders, including senior leadership, ensuring alignment, transparency, and buy-in throughout the solution development process. End-to-End Project Management: Lead projects from conception to completion, ensuring timely delivery, adherence to budgets, and alignment with strategic goals. Continuous Process Optimization: Identify and implement opportunities for streamlining processes to improve efficiency, effectiveness, and overall operational performance. Regulatory Adherence: Ensure all proposed and implemented solutions comply with industry standards and regulatory requirements, such as FDA guidelines, safeguarding organizational integrity and compliance. Requirements 1. Education: Bachelor's degree in Mathematics, Engineering, Business Administration, or a related field. MBA or an advanced degree in Business Analytics, Data Science, or related fields is preferred. Additional certifications in analytics tools or methodologies (e.g., Power BI, SQL, or Python) are a plus. 2. Experience: 3–5 years of experience in the pharmaceutical industry, preferably in a business intelligence, data analytics, or related role. Proven track record in delivering actionable insights and driving data-driven decision-making in sales and marketing contexts. 3. Skills: Analytical Expertise: Strong proficiency in handling and analyzing large datasets to uncover trends and opportunities. Technical Proficiency: Skilled in tools such as Power BI, Tableau, google workspace Excel, SQL, Python, and data visualization frameworks. AI/ML Knowledge: Familiarity with advanced analytics, predictive modeling, and machine learning algorithms is an advantage. Pharmaceutical Knowledge: Comprehensive understanding of industry trends, regulations (e.g., FDA), and sales force effectiveness metrics. Problem-Solving Ability: Strong critical thinking skills with a solution-oriented approach to complex business challenges. Communication Skills: Excellent ability to communicate insights effectively to diverse audiences, including senior leadership, through presentations and dashboards. Project Management: Demonstrated capability to manage multiple priorities in a fast-paced environment, delivering on time and within budget. Stakeholder Collaboration: Ability to work cross-functionally and foster alignment among teams to achieve common objectives.

Required Skills Data Science Machine Learning Deep Learning Python NLP statistical exp. Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights. Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

Data Science Machine Learning Deep Learning Python NLP statistical exp Roles and responsibilities Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders. Primary Responsibilities: Collaborate with business stakeholders to understand and translate their goals into data science initiatives. Lead the development and implementation of machine learning models and algorithms to place ads in the context of cutting-edge privacy frameworks efficiently. Develop strategies to optimize budget allocation in scenarios with high cardinality and uncertainty. Conduct exploratory data analysis to discover complex data sets' patterns, trends, and insights. Communicate complex analytical findings in a clear and actionable manner to non-technical stakeholders. Stay abreast of the latest advancements in data science, machine learning, and relevant technologies. Develop and train ML/DL models for forecasting/classification Build AI agents RAG-based systems Leverage data-driven insights and predictive modeling to build PoCs. Leverage LangChain, LangGraph, or similar for orchestration Use SQL for data analysis, feature engineering, and reporting Required Skills: Qualification in a quantitative field such as Computer Science, Statistics, Physics, or Mathematics. Excellent problem-solving skills. Strong coding skills. 2+ years of relevant work experience in data science and machine learning. Solid background in statistical analysis, hypothesis testing, and experimental design. Proficiency in Python and SQL Preferred GCP Platform Exposure to RAG, LLMs, and agentic workflows - Finetuning Evaluation Familiar with LangChain, LangGraph, or similar toolkits Plus points if you have experience with Apple Ads (formerly ASA) or have worked in the AdTech space. Effective communication skills with the ability to convey technical concepts to non-technical audiences

3+ years of experience in data science roles, working with tabular data in large-scale projects. Experience in feature engineering and working with methods such as XGBoost, LightGBM, factorization machines , and similar algorithms. Experience in adtech or fintech industries is a plus. Familiarity with clickstream data, predictive modeling for user engagement, or bidding optimization is highly advantageous. MS or PhD in mathematics, computer science, physics, statistics, electrical engineering, or a related field. Proficiency in Python (3.9+), with experience in scientific computing and machine learning tools (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, etc.). Familiarity with deep learning frameworks (such as TensorFlow or PyTorch) is a plus. Strong expertise in applied statistical methods, A/B testing frameworks, advanced experiment design, and interpreting complex experimental results. Experience querying and processing data using SQL and working with distributed data storage solutions (e.g., AWS Redshift, Snowflake, BigQuery, Athena, Presto, MinIO, etc.). Experience in budget allocation optimization, lookalike modeling, LTV prediction, or churn analysis is a plus. Ability to manage multiple projects, prioritize tasks effectively, and maintain a structured approach to complex problem-solving. Excellent communication and collaboration skills to work effectively with both technical and business teams.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Overview We have an exciting opportunity for an Data Privacy Specialist. This role is dedicated to protecting data and operational integrity across the Omnicom global footprint, enhancing client trust, and reducing enterprise risk. The Data Privacy Specialist will manage data protection and privacy components of the broader security program. Working across Legal, IT, client, and partner ecosystems, this role ensures the implementation and enforcement of global data privacy standards in a business-centric manner. You will help enable safe and compliant services across Omnicom’s network by embedding privacy principles into processes and technologies. Responsibilities Oversee and implement global data privacy and protection standards across Omnicom’s operations. Lead or support cross-functional efforts with Legal, IT, vendors, and clients to manage data protection initiatives. Provide subject matter guidance on global privacy laws and frameworks (e.g., GDPR, CCPA, DPDP). Ensure privacy-by-design practices are embedded into systems, products, and operations. Support data privacy risk assessments, data subject access requests, privacy incidents, audits, and gap analyses to improve the control environment. Manage operational privacy program elements such as consent, access rights, and data lifecycle governance. Drive an enterprise-wide rollout of a centralized privacy management system Apply information security and data privacy policies, procedures, and practices to support the application of published industry standards at Omnicom Monitor regulatory developments and recommend updates to policies or controls as needed. Qualifications 3–5 years of experience in data privacy or data protection. Strong knowledge of global privacy frameworks such as GDPR, CCPA, and emerging data protection laws. Experience in applying privacy principles in a business and client-facing context. Demonstrated ability to coordinate across multiple departments and stakeholders. Excellent analytical and communication skills; ability to translate legal/privacy requirements into business-friendly solutions. Understanding of privacy risk, impact assessments, and data lifecycle management. A self-starter with strong organizational skills Demonstrated ability to manage multiple projects under strict timelines independently, as well as the ability to work well in a demanding, dynamic environment and meet program objectives Preferred Qualifications Certifications such as CIPP/E, CIPM, or equivalent. Experience working in marketing, media, or digital services industries. Familiarity with data discovery, mapping, or GRC tools supporting privacy programs.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. Are you passionate about shaping the future of travel? Do you want to redefine how people plan, search, and book their journeys? At Expedia Group, we believe travel connects the world and were driven by the endless possibilities it creates. We re looking for a skilled and driven Data Scientist III to support our content product teams with deep analytics and decision-making insights. This role collaborates cross-functionally with product, engineering, data, strategy, and other business units to optimize user engagement, conversion, traffic, and support the development of innovative content products. In this role, you will: Deliver actionable insights into customer behavior and identify opportunities to improve our site and app experiences for travelers worldwide. Partner closely with product managers and engineers to design, implement, and analyze A/B tests and other experimentation frameworks. Act as a trusted analytics advisor to cross-functional teams, offering clear communication and updates on project progress and outcomes. Collaborate with data engineering to design and maintain scalable, efficient data pipelines and infrastructure. Develop and maintain robust dashboards and automated reporting tools to streamline recurring analysis. Frame complex business problems, extract and analyze data, and present key findings to leadership and stakeholders. Own and drive high-impact analytical projects from conception through execution. Experience and qualifications: 5+ years of experience in quantitative analysis, with a passion for tackling complex business problems. Proficient in SQL and Excel, with hands-on experience using Python and/or PySpark for data transformation, analysis, and visualization. Familiar with machine learning techniques, including supervised and unsupervised models. Experienced in advanced analytics methods such as predictive modeling, hypothesis testing, A/B testing, and quasi-experimental design. Skilled in data visualization using tools like Tableau. Experience with Adobe Analytics or Google Analytics is a plus. Able to thrive in a fast-paced, dynamic environment, balancing multiple priorities with strong ownership and proactive problem-solving skills. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Groups family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert , CarRentals.com , and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. . Never provide sensitive, personal information to someone unless you re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Location: Remote,Anywhere in /Multiple Locations- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Location: Remote,Anywhere in /Multiple Locations- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Greetings From Mr.Cooper !!! Currently we are hiring for Quantitative Analyst Position and below mentioned are the job specifications. Experience: 2-6 Years Location: Chennai Work Mode: Work From Office Mandatory Skills: Python/R, SQL Modeling(Statistical/Predictive/Linear Regression) Job Description: Job Description Develop, implement, and refine complex models. Provide high-level quantitative insights and recommendations to support strategic decision-making. Work closely with management to align quantitative strategies with business objectives. Perform rigorous model validation to ensure their accuracy and reliability. Oversee the collection, integration, and analysis of large datasets to support model development and decision-making. Ensure data quality, consistency, and availability for quantitative analysis. Utilize advanced statistical techniques and machine learning algorithms to derive insights from data. Continuously monitor the performance of quantitative models and trading strategies. Optimize models and algorithms to enhance their efficiency, accuracy, and profitability. Implement automated systems for monitoring and alerting. Interested candidates please share your cv to lakshmipriya.vijayakrishnan@mrcooper.com

About iSOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether youre a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description: We are currently seeking an experienced Manager, Data Science, to lead our growing Data Science team. The role involves overseeing the development and implementation of advanced data science techniques to improve media campaigns and enhance our AI-powered solutions. The manager will collaborate with cross-functional teams, providing leadership in analyzing and defining audience, campaign, and media trading data. Key Responsibilities: 1) Team Leadership & Management: Lead and mentor a team of data scientists, providing guidance in the design, development, and implementation of innovative data solutions. Foster a collaborative and high-performance team culture, ensuring the team is aligned with business goals and technical objectives. 2) Advanced Analytics & Data Science Expertise: Drive the application of statistical, econometric, and Big Data methods to define business requirements, design analytics solutions, and optimize economic outcomes. Utilize advanced modeling techniques, including propensity modeling, Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and Bayesian statistics to enhance campaign effectiveness. 3) Generative AI & NLP Leadership: Lead the implementation and development of Generative AI(GenAI), Large Language Models(LLM), and Natural Language Processing (NLP) techniques for data modeling and predictive analysis. Ensure the integration of AI-driven technologies to improve data science capabilities and results. 4) Data Architecture & Management: Architect and manage data systems, integrating data from diverse sources, ensuring the optimization of audience, pricing, and contextual data for ad-tech applications. Oversee the management and utilization of DSPs, SSPs, DMPs, and other critical systems in the ad-tech ecosystem. 5) Cross-Functional Collaboration: Work closely with teams from Product, System Development, Yield, Operations, Finance, Sales, and Business Development to ensure seamless data quality and predictive outcomes across campaigns. Design and deliver actionable insights and reporting tools for both internal and external business partners. 6) Predictive Modeling & Optimization: Lead the development of predictive models to optimize media campaigns, focusing on revenue, audience behavior, bid actions, and ad inventory optimization. Analyze campaign performance and provide data-driven recommendations for optimization across multiple media channels, including websites, mobile apps, and social media. 7) Data Collection & Quality Assurance: Oversee the collection, management, and quality assurance of data, ensuring high standards and efficient systems for in-depth analysis and reporting. Lead the development of tools and methodologies for complex data analysis, model development, and visualization to support business objectives. Qualifications & Skills: Masters or Ph.D. in Statistics, Engineering, Science, or Business, with a strong foundation in mathematics and statistics. 10 to 15 years of experience in data science, predictive analytics, and digital analytics, with at least 7 years of hands-on experience in modeling, analysis, and optimization within the media, advertising, or tech industry. At least 6 years of hands-on experience with Generative AI, Large Language Models, and Natural Language Processing techniques. Strong proficiency in data collection, machine learning, and deep learning techniques using tools such as Python, R, Pandas, scikit-learn, Hadoop, Spark, MySQL, SQL and AWS S3. Experience working with DSPs, SSPs, DMPs, and other programmatic systems in digital advertising. Expertise in statistical modeling, customer segmentation, persona building, and predictive analytics. Advanced understanding of programmatic media optimization, audience behavior, and pricing strategies. Strong problem-solving skills with the ability to adapt to evolving business needs and deliver solutions proactively. Experience in designing analytics dashboards, visualization tools, and reporting systems. Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to manage multiple tasks and projects effectively, both independently and in collaboration with remote teams. An interest in working in a fast-paced, dynamic environment, focused on revenue and analytics in the digital media space. Relocation to Mysuru or Bengaluru required.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. -