387 Statistical Modeling Jobs - Page 2

Required Skills & Qualifications: Bachelor s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. 1-3 years of experience in a data analyst or similar role. Proficiency in data analysis tools: Excel, SQL, Google Sheets. Familiarity with BI and visualization tools: Power BI, or Google Data Studio. Strong analytical, critical thinking, and problem-solving skills. Excellent written and verbal communication skills to translate data into business context. Detail-oriented, with a commitment to data accuracy and process discipline. Preferred Qualifications: Exposure to A/B testing or predictive modelling. Prior experience in a fast-paced or startup environment. Job Summary: We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets to support business decision-making, improve performance, and identify trends and insights. You will play a key role in transforming raw data into actionable intelligence that drives strategic planning across departments. Key Responsibilities: Collect, clean, and validate data from internal and external sources. Design and maintain dashboards, reports, and visualizations using tools like Excel, Power BI, or Google Data Studio. Perform exploratory data analysis and statistical modelling to support business needs. Work closely with stakeholders to understand reporting requirements and deliver customized insights. Identify data trends, patterns, and outliers and provide actionable recommendations. Build and maintain automated reporting processes and improve existing workflows. Collaborate with cross-functional teams Ensure data accuracy, integrity, and security in all analytics operations.

Job Summary : A highly motivated and analytical B-school candidate with a strong foundation of HR Analytics & HR Management. Work Location : Chennai Education : Master s degree - Business Analytics, Business Management in Analytics, Data Analytics from any of the B-School Software Skills : Advance MS Excel, Analytical tools & Visualization tools Work Experience : Trainee Management / Experienced (2+ years of experience would be value added ) Skills Strong analytical with statistical modelling and problem-solving skills with the ability to think critically and creatively Proficiency in data analysis tools and techniques Ability to work in a fast-paced environment Ability to work collaboratively with cross-functional teams Excellent communication and interpersonal skills Ability to build business process modelling & workflows Roles & Responsibility Analyse data to identify trends, patterns, and insights that inform business decisions. Collaboration with HR & Other functional team to design and implement Analytics & dashboard. Identify the areas for improvement, and developing strategies to enhance efficiency and productivity. Create detailed documentation of business requirements, processes, and solutions. Participate in testing and validating new systems and processes to meet business requirements.

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 : - R or python (Data Cleaning, Statistical and Modelling packages) , 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 Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE 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

We are looking for 5+years experienced candidates for this role. Job Description Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Responsibilities include: Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Have expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Expertise in GenAI models is a must. Design, implement, and optimize data pipelines for model training and deployment. Experience with any one of the model serving frameworks (e.g.,TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Primary Skills : Python Data Science concepts Generative AI Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision Predictive Analytics Time Series Analysis Anomaly Detection Recommendation Systems SQL Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP)

IT & Technology Senior Manager Data Analytics Company Background - GET provides skills and expertise to the Oil & Gas industry. - It provisions operational & supervisory field support, remote engineering, technical consulting and training services. - GET has deployed more than a thousand specialists across six countries in the Middle East, helping operators lower cost and gain operational flexibility. 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 : - R or python (Data Cleaning, Statistical and Modelling packages) , 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 Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE 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

Data Scientist Bengaluru/Chennai (Hybrid also possible) This is fast moving position with our client need immediate joiner. Job Description Looking for Data scientists with product analytics and technically skills, hands on development experience in Python, statistical techniques, SQL and basic Data visualization with lot of attention to granular details in data., Self-motivated, team player, with curiosity to learn and grow, exhibiting strong resolve and challenge the status quo, to strive for excellence in everything they do, with good professional and academic track record to be part of a team that deals with most innovative payments processing team that deals transactions at scale. Candidate Requirements Top must-have skills SQL Python Tableau Statistics AB Testing Your way to impact What do you need to bring- Strong 4+ Years of experience in Python and SQL skills with a lot of attention to granular details in data Expertise in stitching together findings to convey coherent insights with statistical significance and analysis Use A/B Testing, analytics, market research, usability studies, and competitive analysis to drive decision making. Exceptional oral and written communication skills Ability to perform deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations and documents Engage in problem solving with the product and various merchant facing teams to determine performance trends and root causes. Support new product launches for merchants by ensuring constant monitoring is in place to track product performance. Partner with varies internal teams to ensure that the merchants analytic needs are well addressed. Create close relationships with stakeholders to anticipate & answer the questions that might be asked both by internal and external parties. Degrees or certifications 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 : - R or python (Data Cleaning, Statistical and Modelling packages) , 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 Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE 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

Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture 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. Visit us at www.accenture.com What would you do Data & AICredit risk modelling refers to the use of financial models to estimate losses a firm might suffer in the event of a borrower s default. What are we looking for Primary Skills: Banking, Financial Services Credit Risk Model Development Market Risk Modelling Financial Regulations Quantitative AnalysisSecondary Skills: SQL SAS Python R Tableau VBA Qlik Sense Snowflake MatillionSoft Skills: Adaptable and flexible Commitment to quality Ability to work well in a team Agility for quick learning Written and verbal communication Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation

Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture 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. Visit us at www.accenture.com What would you do Data & AICredit risk modelling refers to the use of financial models to estimate losses a firm might suffer in the event of a borrower s default. What are we looking for Primary Skills: Banking, Financial Services Credit Risk Model Development Market Risk Modelling Financial Regulations Quantitative AnalysisSecondary Skills: SQL SAS Python R Tableau VBA Qlik Sense Snowflake MatillionSoft Skills: Adaptable and flexible Commitment to quality Ability to work well in a team Result Oriented Problem Solving Skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture 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. Visit us at www.accenture.com What would you do Data & AIA set of tasks to provide insights about the effectiveness of HR processes, procedures and policies, help make data-driven decisions based on the information collected and help HR to move from operational to tactical or strategic partner. What are we looking for SAP SuccessFactors SAP SuccessFactors Reporting Microsoft Excel Data Analysis Structured Query Language (SQL) Written and verbal communication Ability to manage multiple stakeholders Hands-on experience with trouble-shooting Problem-solving skills Strong analytical skills People Management A collaborative and customer-focused mindset. Ability to manage multiple priorities and deadlines. Excellent communication and presentation skills. Strong attention to detail and accuracy. Experience with predictive analytics and statistical modeling techniques. Familiarity with workforce planning and compensation analysis. Knowledge of compliance standards and HR data governance. Roles and Responsibilities: Collaboration & Stakeholder Engagement:Partner with HR teams (Talent Acquisition, L&D, Compensation & Benefits) to understand their data needs.Provide training to HR staff on how to interpret and use analytics tools and reports effectively. Compliance & Data Governance:Ensure HR data reporting complies with company policies and legal regulations (e.g., GDPR, EEOC).Establish best practices for data governance, accuracy, and security. Predictive Analytics & Workforce Planning:Use statistical methods to predict workforce trends such as attrition and hiring needs.Support workforce planning and budgeting processes with data-driven insights. HR Systems Integration:Collaborate with IT, HR, and external vendors to ensure seamless data integration across HRIS, payroll, and other HR platforms.Conduct audits to ensure the accuracy and integrity of HR data. Data Visualization:Design and maintain interactive dashboards using tools like Power BI, Tableau, or Excel for HR teams and leadership.Simplify complex data into user-friendly formats for non-technical audiences. HR Metrics & KPIs:Define and monitor key HR performance indicators (KPIs) aligned with organizational goals.Identify trends, risks, and opportunities within HR metrics Data Reporting & Analysis:Collect, analyze, and interpret HR data from multiple sources (HRIS, ATS, payroll systems, etc.). Develop and maintain standardized and ad-hoc HR reports and dashboards to track metrics such as turnover, hiring, diversity, engagement, and performance. Deliver actionable insights to HR leadership and business units. Qualification Any Graduation

Skill required:Data Science - Predictive Modeling and Analytics Designation:Management Level - Team Lead/Consultant Job Location:Mumbai Qualifications:Any Graduation Years of Experience:7 to 11 years What would you do You will be aligned with our Insights&Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. In the Data Science team, you will manage and analyze data in order to build data driven business insights and high impact data models to generate significant business value. This will involve creating models and processes to collect, distill and interpret data with a view to aid more informed decision making, examine and explore data from multiple sources with the goal of discovering insights which in turn can provide competitive advantage for our client. This role defines an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured. What are we looking for Data Science Adaptable and flexible Ability to perform under pressure Commitment to quality Ability to handle disputes Ability to meet deadlines Good to have Cloud Exposure Roles and Responsibilities In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Navi Mumbai

Marketing Data Scientist Role Summary IMEA Regional Marketing is looking for a talented and highly motivated individual to join our team in the role of Marketing Data Scientist. In this role, you will work with marketing and performance managers on translating complex data findings into useful insights that guide decision-making and future marketing investment. You will be responsible for providing useful insights, recommendations, and measurements of marketing campaigns that will drive innovation and efficiency gains for the business. The candidate will define and execute data-driven, analytical solutions to engage our customers and help solve commercial problems. This role is not about crunching numbers, its about finding compelling insights within data and using your exceptional business and communications skills to translate those insights into action. As one of the masterminds behind our data-driven campaign planning, forecasting and analysis, youll spend your time digging into big, complex data sets, customer touch points and journeys. The data will not remain inert in your hands, however, since you’ll use your critical thinking, problem solving and communication skills to influence and drive thoughtful and well-informed decision making with marketing and business leaders. You will work closely with the Campaign Leads and Marketing Managers to create insights that shape the campaign strategy of our product and solutions, optimize content, and assess the impact of various initiatives. You will also be responsible for surfacing key business insights and recommendations in campaign planning and reviews. Our team of entrepreneurial, enthusiastic, and customer-centric marketeers are helping global and customers in the Indian subcontinent, Middle East, and sub-Saharan Africa integrate their domestic and international supply chains to reach their end-customers. You will have the opportunity to partner with marketing, sales, revenue operations, and finance to develop strategies and analytics designed to enable informed decision making and lead efforts to identify gaps in our data to better drive engagement, client acquisition, retention, and revenue. Working in close collaboration with a diverse and dynamic team of colleagues around the world, you will be part of setting the direction for our regional marketing team and collaborating across the organization to measure impact performance on all marketing activations. REQUIRED COMPETENCIES AND SKILLS: Basic Qualifications: Bachelor’s degree is required with emphasis on analytical skills – e.g. E-commerce, Data Science, Statistics, Business, Computer Science, or equivalent practical experience 5 years of experience in a Marketing Operations, Demand Generation, Data Planner, or related role, ideally at a B2B technology company or agency. Demonstrated proficiency in analytical work in marketing/sales, or a business operations and analytics environment, including analyzing data with spreadsheet software (e.g. Excel Sheets) and database query (e.g. SQL) experience Champion of data and visualization with strong, effective presentation and story-telling skills. Demonstrated ability to conduct sophisticated and creative analysis to solve business problems and translate the results into actionable deliverables, clearly-written summaries/presentations, and region-wide communications. Power BI experience and/or related business intelligence tools is highly preferred. Experience with marketing analytics platforms like Google Analytics is a plus CRM: Salesforce Sales Cloud experience with explicit knowledge of leads flow process, data hygiene and reporting dashboards Strong skills in data analysis, statistics, programming (e.g. SQL, R or Python) Strong stakeholder management skills and ability to manage interfaces at all levels in the organisation Strong verbal and written communications skills and ability to articulate complex insights to cross-functional audiences. Digitally savvy. Preferred Qualifications: Experience with marketing analysis and data-backed customer segmentation is a plus. Understanding of digital marketing, digital logistics platforms, and solutions. Business acumen and communication skills; proficiency in translating data into actionable insights and digestible formats for the business. Highly organized with multi-tasking skills; efficient in ambiguous situations. Demonstrated ability to work across organizational boundaries. Knowledge about digital campaign landscape, cloud computing market and technologies Your personality Strong results orientation with a proven track record of flawless execution and strong attention to detail Demonstrated flexibility, creativity and problem-solving skills Comfortable working in a demanding, fast-paced changing environment that is going through high growth Self-motivated, enthusiastic, and organized. Independent contributor and self-starter who takes ownership of assignments and sees them to completion A collaborator who can work across diverse teams and build rapport to gain the trust and confidence from local and international stakeholders. Hands-on, can-do attitude, and willing to propose and try new things Complete integrity with sensitive and confidential information Curious by nature, motivated by learning and by taking on challenges Approachable and social – we’re a colorful and diverse team with big ambitions, high energy who also has plenty of fun along the way Great organizational skills and attention to detail; able to execute and prioritize multiple tasks simultaneously. Team player, but ability to work independently and be a self-starter. Responsibilities: This is a hands-on position; the ideal candidate must be willing to roll-up their sleeves and work directly with large datasets, conduct data analysis, build self-service reporting tools and dashboards in an environment of rapid growth and increasing complexity, and communicate complex business insights in a clear and precise manner. The candidate must be a self-starter with a bias towards independent problem solving, a passion for identifying and eliminating bottlenecks, and has the foresight to anticipate business needs, make tradeoffs, and balance business dynamics despite constraints. The ideal candidate must also earn trust through performance and relationship building, think analytically about business challenges, and have experience in marketing campaign management. Support the full spectrum of regional marketing data analytics activities Monitor and forecast marketing and sales trends as well as analyze customer and prospect data and downstream funnel performance using Salesforce, Power BI, and other tools Deep dive into data to investigate trends, topical issues, uncover insights, and explore new opportunities for our business growth. Analyse small to large and complex data sets using a variety of tools such as Google Analytics, Salesforce Einstein Analytics, SQL , R and BI tools Use CRM tool to track performance and analyze data against monthly goals Integrate emerging technologies (AI-powered tools..etc ) with marketing platforms to: Build and deploy predictive models to forecast customer behaviour, sales trends, and marketing campaign outcomes. Develop custom scripts or tools to automate routine marketing analysis tasks Cross-channel attribution and multi-touchpoint analysis – develop multi-touchpoint attribution models to understand the impact of various marketing channels on conversion. Works closely with marketing teams to develop dashboards, extract and analyze data, find opportunities, and develop solid recommendations to increase and optimize campaign performance Examine campaign return on investment and conduct demand waterfall analysis to improve profitability of campaigns and performance throughout the sales funnel Utilise data-driven insights to enable leadership to optimize budget and resource allocation Understand how data, and content should be used to optimize conversion rates for a digital experience Identify gaps and pioneer new ways to optimize campaign planning and execution and improve data integrity. Help develop and deliver analytics or measurement frameworks that foster a Test & Learn culture Assist in the development of a structure for managing data analysis requests that can be scaled and improved upon ongoing; e.g. automating ongoing BAU reporting Prepare reports and present results to internal collaborators and management Contribute to the Regional Head of Marketing reporting cadence to ensure weekly, monthly, and quarterly reports are completed to meet timelines with data accuracy Facilitate adoption of the reporting standards by consistently applying them in daily work and educating end users on applicable usage/interpretation of different methodologies Partner with internal regional and global stakeholders from cross-functional and products teams, data engineers to capture business requirements, shape data, and set up processes to design and build reporting solutions.

We are looking for a highly motivated and skilled Data Scientist with 5 years of experience. The ideal candidate should be proficient in Python, ML frameworks, and statistical modeling. You will develop machine learning models, analyze large structured and unstructured datasets, and provide actionable insights to drive business decisions. The role requires strong analytical thinking, effective communication, and hands-on experience with modern data science tools and libraries. You'll work closely with cross-functional teams, enabling data-driven strategies that impact core business outcomes.

Experience: 2 + years Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Office (Pune) Placement Type: Full Time Permanent position Must have skills required: Airflow, LLMs, NLP, Statistical Modeling, Predictive Analysis, Forecasting, Python, SQL, MLFlow, pandas, Scikit-learn, XgBoost As an ML / Data Science Engineer at Anervea, youll work on designing, training, deploying, and maintaining machine learning models across multiple products. Youll build models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. Youll collaborate closely with AI engineers, backend developers, and product owners to translate data into product features that are explainable, reliable, and impactful. Key Responsibilities Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic Regression, and ensemble methods Engineer features from real-world healthcare data (clinical trials, treatment adoption, medical events, digital behavior) Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines Build end-to-end ML pipelines for inference and batch scoring Collaborate with AI engineers to integrate LLM-generated features with traditional models Ensure explainability and robustness of models using SHAP, LIME, or custom logic Validate models against real-world outcomes and client feedback Prepare clean, structured datasets using SQL and Pandas Communicate insights clearly to product, business, and domain teams Document all processes, assumptions, and model outputs thoroughly Technical Skills Required : Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM) Experience with statistical modeling and classification algorithms Solid understanding of feature engineering, model evaluation, and validation techniques Exposure to real-world healthcare, trial, or patient data (strong bonus) Comfortable working with unstructured data and data cleaning techniques Knowledge of SQL and NoSQL databases Familiarity with ML lifecycle tools (MLflow, Airflow, or similar) Bonus: experience working alongside LLMs or incorporating generative features into ML Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methods Personal Attributes : Strong analytical and problem-solving mindset Ability to convert abstract questions into measurable models Attention to detail and high standards for model quality Willingness to learn life sciences concepts relevant to each use case Clear communicator who can simplify complexity for product and business teams Independent learner who actively follows new trends in ML and data science Reliable, accountable, and driven by outcomesnot just code Bonus Qualities : Experience building models for healthcare, pharma, or biotech Published work or open-source contributions in data science Strong business intuition on how to turn models into product decisions

About the Role: Senior Data Analyst Core Responsibilities: The successful candidate will be responsible for supporting business function teams to analyze and execute ideas and drive initiatives designed to achieve business growth, along with loss mitigation goals. The core responsibilities will include. Orchestrate end-to-end credit-risk analytics: extract bureau + alt-data features, run feature-selection, train models, and then translate those into limit, tenor and approval rules recommendations. Managing Credit risk framework by creating probabilistic loss forecasts using vintagecurve time series progressions, survival-hazard models and Markov chain / Vasicek ECL models. Identification of business opportunities by decomposing acquisition funnels, isolating the reasons for true causal lift through frameworks like T-learner, tree-based segmentation etc. Shape next-gen underwriting stack by crafting strategies for -- score cut-offs, tenor reshaping, limit-increase logic, use of alternate credit data points -- and quantify their P&L impact before rollout Simulate what-if” scenarios and recommend cohort-specific pricing/risk shifts own the data-science storyline in CXOs and board forums, securing green-lights (or kill calls) for high-stakes experiments. Preference and Experience: Working experience as a Data Analyst or Business Data Analyst. Fluency in bureau datapoints, functional knowledge of consumer lending processes (risk/profit economics, RBI digital-lending rules, alternate credit datapoints) Strong command of Python and SQL for large-scale data analysis, plus hands-on experience with any BI dashboards. Knowledge of statistics and experience of using statistical models for analyzing datasets. Able to design experiments, interpret results, and prepare recommendations for C-suite, credit risk teams. Educational Requirements: MBA and a Degree in Statistics, Physics, Applied Mathematics, Operations Research, Econometrics, Engineering, or another quantitative discipline.

THE YOUNG WINGS is looking for Visa Specialist to join our dynamic team and embark on a rewarding career journey Visa Application Processing:Receive and review visa applications, ensuring all required documents are submitted Verify the accuracy and completeness of application forms and supporting materials Interviews and Verification:Conduct interviews with visa applicants to assess the purpose of travel and validate information Verify the authenticity of supporting documents provided by applicants Adherence to Immigration Policies:Interpret and apply immigration laws, policies, and regulations in the visa application process Stay updated on changes to immigration policies and communicate updates to relevant stakeholders Communication with Applicants:Communicate with visa applicants to provide information on application status, requirements, and procedures Address inquiries and provide assistance to applicants throughout the visa application process Decision Making:Evaluate visa applications based on established criteria and make informed decisions on approvals or rejections Document and record decisions in the visa processing system Collaboration with Authorities:Collaborate with government agencies, embassies, and consulates to obtain information and support in visa processing Liaise with relevant authorities to resolve complex cases or issues Record Keeping and Reporting:Maintain accurate and detailed records of visa applications and decisions Generate reports on visa application statistics and trends Customer Service:Provide excellent customer service to visa applicants, addressing concerns and ensuring a positive applicant experience Assist in resolving issues related to visa applications and entry requirements Assist clients in visa processing and documentation.

Full time with top German MNC for location Bangalore SKILLS SET: Statistical & Mathematical Concepts Descriptive statistics, probability distributions, hypothesis testing, p-values, confidence intervals, correlation, A/B testing Data Handling & Analysis Data cleaning, missing values, outlier detection, feature engineering, feature selection, EDA, dimensionality reduction, PCA, t-SNE, time series Machine Learning Techniques Supervised: linear regression, logistic regression, decision trees, random forests, SVM, k-NN, gradient boosting, XGBoost Unsupervised: k-means, hierarchical clustering, DBSCAN, PCA, anomaly detection Model Evaluation & Optimization Accuracy, precision, recall, F1-score, ROC-AUC, RMSE, MAE, R, cross-validation, grid search, random search, bias-variance trade-off Programming & Tools Python, NumPy, Pandas, scikit-learn, matplotlib, seaborn, SQL, Jupyter Notebooks, Google Colab SQL Skills Select statements, joins (inner, outer, left, right), group by, having, subqueries, filtering, sorting, aggregations (SUM, AVG, COUNT), window functions (ROW_NUMBER, RANK, LAG, etc.), CTEs etc.

We are seeking a passionate andskilled Data Scientist to join our dynamic team and help us drive innovationthrough advanced analytics and machine learning. Key Responsibilities: Develop and implement machine learning and deep learning models for various business problems, with a strong focus on time series forecasting. Analyze large, complex datasets to extract actionable insights and identify trends, patterns, and opportunities for improvement. Design, build, and validate predictive models using state-of-the-art techniques, ensuring scalability and robustness. Collaborate with cross-functional teams (Product, Engineering, Business) to translate business requirements into data science solutions. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay updated with the latest research and advancements in machine learning, deep learning, and time series analysis, and proactively apply new techniques as appropriate. Mentor junior team members and contribute to a culture of continuous learning and innovation. Requirements Required Skills &Qualifications: 3-5 years of hands-on experience in data science, machine learning, and statistical modeling. Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch). Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly). Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods. Experience with data preprocessing, feature engineering, and model evaluation. Ability to learn quickly and adapt to new technologies, tools, and methodologies. Strong problem-solving skills and a keen attention to detail. Excellent communication and presentation skills. PreferredQualifications: Experience with cloud platforms and MLOps tools. Exposure to big data technologies (Spark, Hadoop) is a plus. Master degree in Computer Science, Statistics, Mathematics, or a related field.

Job Description Department: Research & Development Key Responsibilities: Lead the design, development, and deployment of data-driven solutions, leveraging Python and machine learning frameworks. Oversee data strategy, ensuring quality, governance, and security. Build and optimize predictive models to solve business challenges. Collaborate with cross-functional teams to integrate data science workflows with Rustbased microservices and cloud platforms. Mentor and guide the data science team, fostering a culture of continuous learning. Stay updated with the latest advancements in AI/ML and recommend their adoption. Required Skills and Qualifications: Proficiency in Python and data science libraries (TensorFlow, PyTorch, Pandas, Scikitlearn). Expertise in AI/ML algorithms, statistical modeling, and data visualization. Good to have experience with big data tools like Hadoop, Spark, or similar. Knowledge of deploying models in production environments. Strong understanding of data governance and compliance standards. Leadership experience with a focus on team management and innovation. Advanced degree in Data Science, Machine Learning, Statistics, or related field. Experience with real-time analytics and streaming data frameworks (e.g., Kafka, Flink). Familiarity with graph-based databases like Neo4j or JanusGraph. Knowledge of AutoML,MLops, frameworks and tools. Exposure to cloud-based AI/ML services (AWS SageMaker, Google AI Platform, Azure ML). Working Experiance on LLM, LAMA, Mistral, RAG, Agentised RAG, LORA, and Model Optimization

Design, develop, and deploy AI/ML models; build scalable, low-latency ML infrastructure; run experiments; optimize algorithms; collaborate with data scientists, engineers, and architects; integrate models into production to drive business value. Required Candidate profile 5–10 yrs in AI/ML, strong in model development, optimization, and deployment. Skilled in Azure, ML pipelines, data science tools, and collaboration with cross-functional teams.

We are seeking a Senior Quantitative Credit Risk Strategist as part of the team. You will work with other analysts, risk managers and leaders to analyze customer characteristics, identify risk differentiators, and recommend underwriting and collections strategies to achieve the risk and return goals. If you have an analytic and data driven mindset, eye for detail and can-do attitude then you are right for this position. About this role (Responsibilities) Analyze data to identify risk drivers and propose mitigation strategies Work with Data Science team to build and test credit, account management and Collection models Set credit strategy and policy to mitigate risk and drive business growth Improve Collection performance by operational, policy and modeling improvements Set underwriting and account management strategy Collaborate with R+D, Product, and Operations on the test and launch of new features and/or products Skills and Requirements 5+ years of experience in retail/consumer/SMB finance in a credit risk or strategy role preferably in Fintech/banks Ability and experience in writing credit memos and credit decision and strategy documentation Hands on experience in using data and analytics to drive credit risk strategy is required Experience in A/B testing Masters Degree or higher in a quantitative field (Mathematics/Statistics/Economics/OR/Business) Advanced data analytics skills, including use of SQL, Python/R, Excel and data visualization tools such as Tableau/Hex Familiarity with statistical modeling Ability to influence a cross-functional non-hierarchical environment to lead collaborations and drive progress

Summary Job Description Summary -Provide analytical support to Novartis key stakeholders to support decision-making processes. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. - Generate reports that supervise product metrics, progress, and KPIs. -This role requires a blend of business insight and technical understanding, enabling you to collaborate with brand teams, marketing teams and all functions to maximize value. -Technical requirements - SQL, Dataiku, Python is a plus About the Role Key Responsibility: Solid understanding of multiple datasets (e. g. LAAD, Xponent, DDD) and managing and coordinating data sets from databases to find patterns and trends. Redefining these complex and granular data into actionable insights. Responsible for standard and ad-hoc extracts/reports across multiple primary and secondary data sources. Responsible for tracking ongoing outcomes reports and manage priorities for upcoming reports. Sharing findings with partners with reports and presentations on a timely basis. Putting together specifications to extract/transform data into required formats for different analytical elements using programming languages like SQL or other data processing tools. Build the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial. Establish and maintain positive relationships with key functional partners. Essential Requirements : - Ability to work independently and as an integral member of the team and Attention to detail and quality focused, good interpersonal and communication skills, influence, negotiation and tact skills, innovative, and collaborative behaviors and can-do orientation. - Curiosity and strong analytical thinking, verbal and written communication skills and exposure to working in multifunctional/cultural environment. - Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process. - Ability to multi-task, work in a demanding distributed team environment, work under tight deadlines. Develop and maintain strong individual performance. Desirable Requirements : - Masters or Bachelor s in STEM - At least 3+ years of experience in data modeling and reporting solutions development and hands-on experience of APLD and US national and subnational datasets and ability to lead teams functionally. - Technical abilities: Excel, SQL or Dataiku, and PowerPoint is vital. Knowledge of statistical modeling or ML is a plus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

Job Title: Associate Director/Consulting Manager (based on fitment). Solution Line: Talent Solutions Consulting. Position Type: Full Time. Work Mode: In Office. People Manager Role: Yes. Annual Revenue Responsibility: Yes. Required Education And Certifications Critical For The Role. Full Time Bachelors/ master’s degree in related discipline (HR, Economics, Statistics, Analytics and Business Administration). B. Work Experience. 9+ years of relevant post qualification experience after completion of masters in the area of compensation & benefits, rewards strategy design, job evaluation, incentive design, skill gap analysis, organization restructuring, talent management projects. Relevant pre-MBA experience in the areas we operate, Technical Skills. Advance Excel, Analytics, Data skill (Preferred). R, VBA, Macros, Predictive Analytics, Statistical Modelling, Linear Regression (Desirable). About Aon. Aon plc (NYSE: AON) is the leading global provider of risk management, insurance and reinsurance brokerage, and human capital consulting solutions. We have more than 66,000 colleagues worldwide,. Aon unites to empower results for clients in over 120 countries via innovative and effective risk and people solutions and through industry leading global resources and technical expertise, TALENT SOLUTIONS CONSULTING. Aon's Talent Solutions Consulting practice delivers solutions to help clients build workforces for the digital age. We accelerate organizations from ordinary to the extraordinary with an unmatched combination of global consulting, and integrated talent analytics. We have more than 300 consultants serving India market helping clients with their most complex challenging problems using deep insights and analytics. We are trusted advisors for wide variety of organizations including BSE500 and work with largest set of early-stage technology organizations in the country, Typically, the projects can cut across some or all the areas below:. Large Industry Compensation Benchmarking Surveys, Large Industry Salary Increase Surveys, Productivity Studies Pay for Performance Advisory Assignments, Compensation & Rewards Advisory (including & not restricted to) Pay Design, Pay Structuring, Rewards Strategy, Job Evaluation, Variable Pay & Incentive Design, Talent Advisory (including & not restricted to) Digital Transformation, Organization Design & Organization effectiveness, Performance management, Scorecard Design, Competency and Career Management Design, Job Overview. Our Associate Directors/Consulting Managers are responsible for high-level project delivery and oversight along with client relationship and revenue management. You will manage teams and advise clients at the highest strategic level on both big-picture and tactical matters, We expect to show ownership, accountability, and extreme learning agility. We would love for you to show us depth not only in solution areas but also in your understanding of how client organization function. You will be a part of highly energized team in consulting and depending on projects you will wear different hats ranging from performing complex analytics, wowing our clients, managing small projects to bringing in sales, Key Responsibilities. Project and Client Relationship Management Lead various Organization & Rewards Consulting assignments for Aon India clients especially in the area of organizational effectiveness; this included partnering with clients around HR system design, employee engagement, organization structuring, rewards benchmarking, pay range design, performance management & scorecard cascading.The incumbent would be responsible for leading a solution within the industry vertical in terms of clients, financial and team collaboration and also ensure timely and profitable delivery of the key projects. Manage client projects from start to finish, translating client needs into analysis and design recommendations across topics such as salary structures, total rewards strategies, equity guidelines, career progression guidelines, Thought Leadership To contribute to thought leadership in the industry sector for India with timely articles, white papers, roundtables, client events. The incumbent will contribute to this through content development, research, marketing events and other such activities, Business Development Focuses on client sales opportunities across hunting and farming. Understands client requirements, is able to explain to the client the solutions being proposed and customizes basis feedback. Listens to client problems without trying to force fit solutions, Pre-Sales Support and Solution DesignProvides support in building winning commercial proposals for clients. Plays the role of a team member in building out complex advisory solutions as part of the sales cycle. Ensures clients problem statement is effectively translated into a working solution. Tailors existing solutions to meet client requirements and where required, co-builds new solutions to meet client requirements where applicable, Skills/Competencies Required. Prior Consulting experience preferred, Excellent Communication and interpersonal skills, Strong domain expertise and presentation skills, Understanding of Market trends and economy, Confidence to present and defend methodology / recommendations to Senior Leaders, Leadership experience in terms of mentoring or developing peers and/or junior team members, Ability to work on complex assignments and lead from the front, Ability to work independently and on a team across multiple projects deadline-oriented environment, Track record of success in terms of historical performance rating and/or utilization (billable hours / total hours), Willingness to travelFlexible to long working hours, What We Look For. You bring a strong analytical ability but a ‘people-focused’ approach as well as the ability to see things from an end-user perspective. You will also have:. A strong passion for translating people data into meaningful insights that can ‘tell a story’,. Intermediate to Advanced skillset with MS Excel and other MS office tools, Commitment to ongoing learning, Project & Client Relationship Management. Insights and report quality. Ability to visualize large sets of data and build stories around it, Passion for driving results and focused on outcome and process, Deal with immense ambiguity and navigate oneself from problem to the solution, WHY CHOOSE US. You will get to work with top notch clients across industries, Opportunity to work in a niche segment with the market leaders in the Consulting Industry, Opportunity to work in a team of international professionals across regions, How We Support Our Colleagues. In addition to our comprehensive benefits package, we are proud to be an equal opportunity workforce. At Aon, we believe a diverse workforce is an innovative workforce. Our agile, inclusive environment allows colleagues to manage their wellbeing and work/life balance while empowering you to be your authentic self, Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging them to take time to focus on themselves. We offer a variety of workstyle options through our Smart Working model, but we also recognize that flexibility goes beyond just the place of work,. and we are all for it!. Our continuous learning culture inspires and equips colleagues to learn, share and grow, helping them achieve their fullest potential. As a result, Aon colleagues are more connected, more relevant and more valued, 2556439. Show more Show less

Job Title: Logistics Specialist. The Logistics Analyst is responsible for . About the job (Job Responsibilities). Work closely with the internal stakeholders (viz Supply Chain, Sales, Planning, Customer Service etc) to translate the objectives into parameters for analytical models (Power BI) and reports/dashboards for global and cross-functional use.. Develop and maintain data and analytical models, including data logic and statistical analysis on business performance (incl. KPI’s) across the businesses and functions in an automated way.. Maintain, Monitor, and ensure data quality of the certified / centralized PBI reports.. Provide meaningful insights, which can be used to better understand and improve business performance.. Actively working on standardization and improvements of the certified reporting, dashboarding (Power BI) and related metrics.. Fulfill the information needs across the functions.. Design, develop, test, implement and maintain data models to derive relevant answers from datasets, which may include identification of attributes, exploratory data analysis and predictive analytics.. Supporting role to end users on PBI related questions (e.g. training, problem solving, etc).. Identify new data sources and evaluate emerging technologies for data discovery and analytics.. Cross-Domain Exposure: Gain the opportunity to work across diverse domains such as Supply Chain, Commercial, and Finance, enhancing your understanding of various data landscapes.. Innovation and Implementation: We encourage you to share your ideas and implement solutions using advanced tools and technologies such as Python, Machine Learning (ML), and Natural Language Processing (NLP). Help take Power BI capabilities to the next level.. Improve the full PBI landscape where possible: Fabric, Tenant maintenance, Power Platform utilization, Analytics, CoPilot, PPT integration etc.. [Not translated in selected language]. The position is based in Mumbai, India.. We believe you bring. The role is predominantly concentrated on Supply Chain Management, and the employee must possess experience and knowledge of. Supply Chain Planning. Logistics, Warehouse, Inventory, Freight. Export / Import etc.. Have a bachelor’s or master’s degree in supply chain management, Business Administration or a related field.. Have minimum 3 years of experience with Power BI modelling and reports design.. Strong and applied knowledge on DAX and HANA / Azure/ SQL integration.. Preferably worked with data from SAP and/or BW.. Have strong analytical skills, with proven capabilities in data modelling and data visualization.. Strong knowledge of supply chain processes and relevant legal regulations.. Have relevant experience in the fields of Integrated Supply Chain reporting – Logistics, Planning, Order Management, Customer Service etc. Able to come up with solutions to define business problems by leveraging pattern detection over large datasets and overseeing relationships between diverse systems.. A team player and able to communicate across different businesses, functions, and organizational levels.. Preferably have statistical modelling and machine learning expertise or have interest in data science.. Show more Show less

Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related field or equivalent practical experience.. 5 years of experience in collecting, managing, and synthesizing data sets and information, statistical modeling, data mining, and data analysis.. 5 years of experience in managing projects and defining project scope, goals, and deliverables.. Preferred qualifications:. 2 years of experience in management.. Experience in problem solving and project management with data management, metrics analysis, experiment design and automation.. Experience with classification systems or ranking systems.. Knowledge of product and policy with the ability to communicate across multiple level.. Excellent investigative skills.. About the jobFast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.. In this role, you are responsible for formulating strategies and implementing solutions to drive anti-spam analytics and detection at scale within YouTube. You will work cross-functionally and engage with stakeholders from policy, legal, engineering, data science, ranking and product teams across a variety of community abuse issues. You will ensure users have a safe and a quality community experience on the YouTube Platform. You will be required to do some on-call work on weekends on a rotational basis.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.. Responsibilities. Guide the team to perform investigations and apply advanced statistical methods to large data sets spanning billions of events and thousands of features from diverse data sources across the organization.. Guide team to create and deploy automated solutions for bulk classification of abusive content and behavior using a variety of tools, features and functions.. Collaborate with stakeholders and partners in engineering, product, policy and legal to drive anti-abuse solutions involving and impacting various cross-functional areas.. Formulate practical and long term strategy and goal, and lead analyst teams to cover a wide variety of spam and abuse vectors across YouTube community engagements.. Identify spam trends and techniques to develop and deploy anti-abuse counter measures on a tight schedule.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less