1143 Statistical Modeling Jobs - Page 13

Key Responsibilities **Text Embeddings & NLP** - Design and implement pipelines leveraging text embeddings for semantic search, classification, clustering, and document retrieval. - Work with embedding techniques such as TF-IDF, Word2Vec, GloVe, FastText, and transformer-based models including BERT, Sentence-BERT, OpenAI, and Azure OpenAI embeddings. - Apply dimensionality reduction methods (PCA, t-SNE, UMAP) to analyze and visualize embedding spaces. - Use cosine similarity, Euclidean distance, and approximate nearest neighbor algorithms like FAISS and ScaNN for similarity search and clustering. - Integrate embedding outputs into downstream applications such as intent detection, topic modeling, semantic deduplication, document ranking, and retrieval systems. **Traditional Machine Learning & Statistical Modeling** - Build and deploy predictive models with logistic/linear regression, random forests, gradient boosting techniques (XGBoost, LightGBM), SVM, Naive Bayes, k-means, and hierarchical clustering. - Employ statistical inference techniques including hypothesis testing, confidence intervals, bootstrapping, Bayesian inference, multicollinearity diagnostics, residual analysis, and time series forecasting (ARIMA, SARIMA). - Evaluate model performance using ROC/Precision-Recall curves, AUC, confusion matrices, F1-score, lift/gain charts, and KS statistics. - Conduct feature selection via Lasso/Ridge regression, recursive feature elimination (RFE), and SHAP values for interpretability. **Experimentation & Causal Inference** - Design and analyze A/B and multivariate tests, DOE experiments, and sophisticated causal inference methods including propensity score matching, causal forests, and difference-in-differences. - Translate experimental results into clear, actionable business insights that drive measurable outcomes. **Data Engineering & Productionization** - Develop scalable data pipelines using PySpark, SQL, and Azure Data Factory on platforms including Azure Data Lake, Databricks, MongoDB, and Cosmos DB. - Deploy machine learning solutions with FastAPI, Docker containers, and Azure App Services endpoints, while monitoring model health with MLflow and model drift. **Collaboration & Leadership** - Partner effectively with engineering, product, and business teams to define problem statements and deliver impactful solutions. - Lead technical discussions, perform code reviews, and mentor junior data scientists to foster technical growth. - Communicate complex analytical insights clearly to both technical and non-technical stakeholders. Required Skills and Qualifications Hands-on experience in machine learning, statistical modeling, and NLP applications. - Deep expertise in text embeddings and their real-world applications. - Proficiency in Python, PySpark, and SQL. - Strong foundation in statistical inference, model diagnostics, and evaluation metrics. - Experience working with Azure cloud ecosystem, Databricks, and production deployment of ML models. - Proven ability to design, execute, and interpret experiments with statistical rigor. Preferred (Good-to-Have) Skills - Familiarity with transformer-based large language models (LLMs), LangChain, or OpenAI APIs. - Experience with MLOps tools such as MLflow and Github Actions CI/CD pipelines with Azure App Services. - Exposure to graph analytics, retrieval-augmented generation (RAG) pipelines, or agent-based systems. Day-to-Day Responsibilities You will architect and implement advanced NLP and machine learning pipelines leveraging diverse text embeddings for semantic search, classification, and clustering tasks. Applying sound statistical modeling and causal inference techniques, you will lead experimentation efforts and build scalable data workflows using PySpark, SQL, and Azure services. Cross-functional collaboration will be a core part of your role as you translate analytical insights into strategic business outcomes. Location: IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg Job ID R-72059 Date posted 06/26/2025

We are looking for a highly motivated and talented Junior Data Scientist to join our team at AGR Knowledge Services Pvt Ltd. The ideal candidate will have 2-4 years of experience in the field. Roles and Responsibility Collaborate with cross-functional teams to design and develop data-driven solutions. Analyze complex data sets to identify trends and patterns, providing actionable insights. Develop and maintain databases, data systems, and data pipelines. Design and implement machine learning models and algorithms to solve business problems. Work closely with stakeholders to understand business needs and develop targeted solutions. Stay up-to-date with industry trends and emerging technologies in data science. Job Requirements Strong foundation in statistics, mathematics, and computer science. Proficiency in programming languages such as Python, R, or SAS. Experience with data analysis tools such as SQL, Excel, or Tableau. Knowledge of machine learning algorithms and deep learning techniques. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines.

We are looking for a highly motivated and talented Junior Data Scientist to join our team at AGR Knowledge Services Pvt Ltd. The ideal candidate will have 2-4 years of experience in the field. Roles and Responsibility Collaborate with cross-functional teams to design and develop data-driven solutions. Analyze complex data sets to identify trends and patterns, providing actionable insights. Develop and maintain databases, data systems, and data pipelines. Design and implement machine learning models and algorithms to solve business problems. Work closely with stakeholders to understand business needs and develop targeted solutions. Stay up-to-date with industry trends and emerging technologies in data science. Job Requirements Strong foundation in statistics, mathematics, and computer science. Proficiency in programming languages such as Python, R, or SAS. Experience with data analysis tools such as SQL, Excel, or Tableau. Knowledge of machine learning algorithms and deep learning techniques. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines.

Department - Commercial DD&IT GBS Are you passionate about leading complex IT programs? Do you thrive in a dynamic environment where strategic thinking, collaboration, and innovation come together? If you have a proven track record in IT Program Management and are ready to make a difference, we want to hear from you! We are seeking a senior IT Program Manager to lead a large-scale, complex Customer Engagement ecosystem program supporting the HCP Engagement at a global environment (excluding USA). The role will focus on modernization and migration of the Customer Engagement ecosystem, integrating with portals, analytics and marketing platforms ensuring aligned delivery across business, markets, and technology stakeholders within a matrix organization. Read on and apply today for a life-changing career. Apply Now! The position As a Sr Program Manager HCP Engagements at Novo Nordisk, you will: Lead the planning, execution, and governance of IT programs to ensure successful outcomes. Lead the end-to-end delivery of Customer Engagement program including migration from legacy systems to newer technologies. Define and manage program plans, roadmaps, dependencies mapping, and milestones ensuring on-time, quality delivery aligned with business objectives. Drive complex integrations with other enterprise systems (e.g.: MDM, data warehouses, analytics, marketing automation, and HCP Portals). Engage with global and local business stakeholders (medical, commercial, compliance, data privacy) for requirements gathering, prioritization and alignment. Act as the primary escalation point for program risks, dependencies, and decision-making with senior leadership. Navigate a matrix environment while balancing global standards with local market needs. Drive execution of migration roadmaps including data migration, process harmonization, and change management planning. Collaborate with architecture and platform teams to ensure scalable, compliant configurations aligned with HCP engagement goals. Oversee validation, UAT, and cutover activities ensuring minimal business disruption. Manage vendor relationships including product implementation partners and system integrators. Proactively identify and mitigate delivery and operational risks. Ensure programs adhere to pharma quality, compliance (GxP, GDPR) and data privacy standards. Drive strategic alignment of IT initiatives with broader organizational goals. Establish clear project timelines, budgets, and deliverables, ensuring projects are delivered within scope, time, and budget. Facilitate communication and collaboration across cross-functional teams, including IT, business units, and external partners. Identify potential risks, develop mitigation strategies, and proactively address challenges. Champion digital transformation initiatives and promote the adoption of innovative digital solutions. Evaluate emerging technologies and recommend their integration into existing systems. Qualifications We are looking for a candidate who can bring the following skills and experience to the role: Bachelors degree in computer science, Information Technology, Business Administration, or a related field. A masters degree is preferred. Minimum 15+ years of experience in IT program management, with at least 12+ years in a senior or leadership role. Proven track record in managing complex digital and IT projects, including strategy development, implementation, and stakeholder engagement. Familiarity with IT infrastructure, software development lifecycles, and emerging digital technologies. Strong experience in budgeting, vendor management, stakeholder engagement, resource allocations etc. for large scale programs. Strong leadership and people management skills, with a consistent track record to build and lead impactful teams. Excellent communication, negotiation, stakeholder leadership and conflict resolution skills. Superb analytical and problem-solving skills with a focus on continuous improvement. Ability to engage, build and sustain trusted relationship both internally and externally. Proven track record of working in matrix setup of internal and external partner setup to deliver quality service management. Preferred Skills VEEVA/Salesforce certifications or formal training. Experience with CRM analytics and data migration tooling. Background in implementing CRM integrations with marketing automation platforms and content management systems. Experience in leading organizational change management alongside CRM rollouts.

such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Join crossfunctional teams to design, develop, deploy, and finetune generative AI systems , including LLMs, retrievalaugmented generation (RAG), and AI agents Build and maintain scalable, secure backend services commonly using Python and frameworks such as FastAPI

Overview The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents. This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries. You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use. This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments. Responsibilities Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams. Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers. Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations . Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways. Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows. Qualifications Experience building testing, validation, or observability systems in ML or production software environments. Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms. Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments. Familiarity with common agentic development platforms like OpenAI agents sdk , google’s adk , langchain , etc Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces. Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

About Loadshare: LoadShare is one of India’s most innovative and resilient logistics platforms, transforming how goods move across the country. Founded in 2017, we’ve grown to become a pan-India, multi-category last-mile network with a unique presence in both Tier 1 metros and deep Tier 2/3 towns. What sets us apart: • Scale with depth: We handle ~400K deliveries/day across food, e-commerce (B2C), B2B retail, and digital commerce, powered by a 20,000+ rider network. • Strong financials, stronger ambition: With 430 Cr in FY25 revenue and support from global investors (Tiger Global, Matrix, BII, Stellaris, BeeNext), we have a long runway and a path to profitability • Dual-engine model : We not only operate India’s most flexible last-mile delivery network, but also license our in-house logistics tech platform that processes an additional 20 lac orders/day — one of the few in India to enable asset cross-utilization across verticals • Strategic partner to India’s digital economy: We work with every major digital commerce player (ecomm, quick commerce, food, mobility) , and are expanding wallet share and capabilities within existing giants while co-creating new models with emerging platforms and brands. • Built to scale profitably : We’re not chasing GMV at all costs. We’re building the most capital-efficient, tech-enabled logistics engine in the country. We’re now building for our next phase: a 5X scale-up over the next 5 years, anchored in sharper client focus, deeper solutions, and new growth engines. Founders/ Founding team: Raghu Talluri (CEO) - Formerly at Myntra, McKinsey Pramod Nair (CTO) - Formerly at Freecharge, Snapdeal, MartMobi Rakib Ahmed (Co Founder, Head EComm/ Trucking/Warehousing) - Formerly at ICICI Prudential, Co founder Lunate Eco Overall 500+ employees on roll The Role: Where Business Meets Data Science We’re looking for a Senior Data Scientist to join our Hyperlocal Business Unit —the fastest growing part of LoadShare. This isn’t your typical ML role. You'll be at the intersection of real-time rider allocation, business margins, customer experience, and fair pay to gig workers. You'll have full ownership and freedom to rethink how orders get assigned, how riders move, and how we balance profitability with empathy and excellence. Your mission, should you choose to accept: Make our allocation engine smarter and faster, using data science, machine learning, and a bit of madness. Every 0.1% improvement you drive scales across lacs of deliveries and thousands of riders. Roles and Responsibilities What You’ll Work On Rider Allocation Engine: Improve how we assign orders to riders using ML, optimization, and predictive modeling to improve margins, reduce wait times, and increase batchability. Rider Earnings vs. Business Margins: Build models that find the sweet spot between paying riders fairly and hitting profitability goals—without compromising on customer experience. Demand-Supply Matching: Create algorithms to anticipate demand, shape rider shifts across space and time, and reduce delivery failures in hotspots and dark zones. CX & SLA Optimization: Use historical data to predict SLA risks and proactively re-route or re-assign in real-time. Experimentation & Impact: Design A/B tests to validate everything you ship. What you build, you own. Scale ML in Production: Work with engineering to ship robust, real-time data science solutions that touch live operations daily. Why This Role is Cool Real-World Impact: Your models will affect lacs of orders and thousands of livelihoods every single day. Freedom to Experiment : You get a playground with real data, full support from leadership, and space to try bold ideas. Full Stack Data Science: From ideation to shipping models to influencing business decisions, you’ll do it all. Tech + Ops Fusion: See your work directly improve operations, rider morale, and customer happiness—in days, not quarters. Incredible Team: Work with some of the sharpest minds in logistics, ops, and engineering. Quick Commerce Revolution: You get to be in the foreground of the QC revolution, shaping how 3Ps help solve the stress. What We’re Looking For 4+ years of experience in Data Science/ML/OR solving complex real-world problems Strong in Python, SQL, and ML frameworks. Good grounding in optimization, statistics, experimentation, and business sense Curious mind, strong communication skills, and a bias for action. Bonus Points If You Have Worked on last-mile logistics, food delivery, or hyperlocal services Built real-time systems or worked closely with engineering on model deployment Experience with geospatial data, ETA models, or dynamic pricing Passion for making tech more inclusive for gig workers and emerging markets Ready to Redefine Hyperlocal Logistics? Join us. Help build a system that delivers millions of packages, changes thousands of lives, and sets the gold standard for modern intracity logistics—using data.

Perform gap analysis & assess the impact of AI implementations on business processes Develop prototypes & proof-of-concept AI solutions using tools like Python, TensorFlow, or R Support UAT Required Candidate profile Experience in AI/ML or data analytics projects, AI/ML concepts, data pipelines, statistical modeling Proficiency in Python, R, or SQL preferred, AI tools - Azure AI, AWS SageMaker, Google AI, OpenAI

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

Lead cross-functional projects by defining scope, managing risks, analyzing data, and automating workflows. Support insurance pricing with modeling, dashboards, and stakeholder reporting throughout the lifecycle. Required Candidate profile Educated in math/stats/econ/IT, with project admin experience. Skilled in Excel/Python, Jira/Asana. Strong analytical thinking and excellent communication with clients and teams.

Games24x7 is seeking an experienced and detail-oriented Senior Data Analyst (DA-2) to join the team. The successful candidate will be responsible for analyzing and interpreting complex datasets to provide valuable insights that support strategic decision-making. The responsibilities of the Senior Data Analyst include gathering requirements from stakeholders, managing and prioritizing these requirements, and working on A/B experimentation to draw conclusions with statistical techniques. The candidate will need to convert actionable insights into well-defined projects, understand player behavior, and collaborate with Product, Marketing, and Technology teams to execute projects and measure their success. Additionally, the Senior Data Analyst will develop and maintain comprehensive dashboards and reports, debug, monitor, and troubleshoot various solutions, and ensure data quality standards are implemented to guarantee accuracy, reliability, and reusability of data and solutions. The ideal candidate should have a BE/B.Tech degree in Computer Science/IT from a top college, with a minimum of 4 years of experience in Analytics. Strong proficiency in statistical concepts and techniques such as hypothesis testing, regression analysis, and time series analysis is required. Experience in developing and implementing advanced statistical models and algorithms, such as logistic regression, decision trees, random forests, and gradient boosting, is essential. Hands-on experience with Large Language Models (LLMs) and natural language processing (NLP) techniques is a plus. The candidate must possess exceptional logical and analytical skills, excellent technical and communication abilities to convey complex technical concepts to non-technical stakeholders effectively, and attention to detail. Proficiency in data analysis tools and programming languages like Python, R, SQL, etc., as well as experience with data visualization tools (e.g., Tableau, Power BI) are necessary. Knowledge of data warehousing concepts and working with large datasets is advantageous. The Senior Data Analyst will be based in Bangalore and will play a crucial role in contributing to the organization's success by providing data-driven insights and solutions to drive business decisions.,

You will be a part of the Investments team at Navi, located in Bangalore, responsible for managing the portfolio of investment products such as mutual funds and digital gold. Your role will involve driving equity research and quantitative strategy development to facilitate data-driven investment decisions. Collaborating closely with cross-functional teams, you will contribute to enhancing portfolio performance, delivering actionable insights, and staying updated on market trends through continuous research and innovation. Your responsibilities will include conducting in-depth equity market analysis to identify investment opportunities and risks, developing quantitative strategies and predictive models, and analyzing financial and non-financial datasets for deriving actionable insights. You will collaborate with the data science and portfolio management teams to create and update quantitative models, evaluate factors impacting stock prices, and explore various data sources for improving the quantitative model. Furthermore, you will collaborate effectively with Fund managers, the Data Science team, and other stakeholders to align initiatives with investment goals. You will also be responsible for creating dashboards, reports, and visualizations to effectively communicate findings to investment teams and stakeholders. Additionally, staying updated on market trends, emerging investment opportunities, and advancements in quantitative research methods to introduce new approaches for enhancing the investment process will be crucial. As a successful candidate, you must possess a sound understanding of capital markets, particularly Equity markets, along with a strong grasp of market mechanics and fundamentals. Prior experience in statistical modeling, machine learning, and quantitative analysis techniques is highly desirable. You should have the ability to work under tight deadlines in a competitive environment, strong analytical and problem-solving skills, as well as excellent communication and presentation abilities. In the dynamic and customer-first culture of Navi, you will be empowered to work in a team that builds and improves innovative solutions. The Navi DNA includes traits such as ambition, perseverance, self-awareness, ownership, and integrity. If you are impact-driven, strive for excellence, and embrace change while putting the customer first, you will thrive at Navi.,

The Specialized Analytics Manager provides full leadership and supervisory responsibility. You will provide operational/service leadership and direction to team(s). You will apply in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. You may contribute to the development of new techniques, models, and plans within the area of expertise. Excellent communication and diplomacy skills are required for this role. You will generally have responsibility for volume, quality, timeliness of end results, and shared responsibility for planning and budgets. Your work will affect an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. You will have full supervisory responsibility, ensuring motivation and development of the team through professional leadership. This will include duties such as performance evaluation, compensation, hiring, disciplinary and terminations, as well as direction of daily tasks and responsibilities. The Data Science Analyst is a developing professional role within the GWFO team. In this role, you will apply specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. You will work with cross-functional stakeholders to gather and process operational data from various sources to examine past business performance and identify areas for improvement. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, curious about learning and developing new skill sets, particularly in the area of artificial intelligence, have a positive outlook with a can-do mindset, and strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. Experience with statistical modeling techniques, building GenAI solutions, agentic AI frameworks, and data visualization tools such as Tableau or Power BI is required. Strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are also essential. You should have a Bachelors/University degree or equivalent experience. This job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,

You will be responsible for independently assessing the conceptual framework, methodology, data, and implementation of models. Your role will involve validating models using Statistical and Machine Learning methods. You will be expected to suggest and propose changes in models based on your assessments. Evaluating potential risks associated with model usage and performance, including financial, operational, and reputational risks, will be a key aspect of your duties. Conducting independent performance reviews, back-testing, and benchmarking will also fall under your purview. Ensuring compliance with RBI and other regulatory standards is crucial to this role. Collaboration with the model development team, compliance, audit, and risk teams will be necessary for successful execution of your responsibilities. Additionally, you will need to maintain clear, auditable documentation of validation processes and findings to ensure transparency and accountability.,

To support Cross Asset Strategy team of one of the top global investment banks in day-to-day research - this includes proficiency in excel, good understanding of macroeconomic concepts, working knowledge of any statistical software, econometric modelling, analysing macroeconomic themes and basic report writing skills. Responsibilities: Create and update excel based databases on a regular basis. Gather data from various public sources. Analysis of large datasets to identify patterns & trends. Complete understanding of balance of payments, government financing, debt, FX, international trade, monetary and fiscal policies. Build end to end econometric models using time series methods in Python/Matlab/Eviews. It also includes sound understanding of economic fundamentals and their inter relationship. Monitor and provide support for existing automation projects and review current projects for opportunities that drive improvement in the process. Assist in preparation and publication of weekly, monthly and quarterly deliverables. Keep abreast with important macro-economic news/FX and rates market developments which impact emerging markets. Skillsets/ Competencies: Strong knowledge of financial market and economic fundamentals. Experience in econometric analysis/statistical modelling Advanced excel, charting and PowerPoint skills Experience or skills in Python/ Matlab/ Eviews or other statistical software is highly desirable Excellent quantitative skills and high level of attention to detail and accuracy Working experience of Bloomberg and Haver is preferred Strong written skills, including ability to effectively communicate economic/financial concepts Strong communication skills with proven ability to interact with global clients To support Cross Asset Strategy team of one of the top global investment banks in day-to-day research - this includes proficiency in excel, good understanding of macroeconomic concepts, working knowledge of any statistical software, econometric modelling, analysing macroeconomic themes and basic report writing skills. Responsibilities: Create and update excel based databases on a regular basis. Gather data from various public sources. Analysis of large datasets to identify patterns & trends. Complete understanding of balance of payments, government financing, debt, FX, international trade, monetary and fiscal policies. Build end to end econometric models using time series methods in Python/Matlab/Eviews. It also includes sound understanding of economic fundamentals and their inter relationship. Monitor and provide support for existing automation projects and review current projects for opportunities that drive improvement in the process. Assist in preparation and publication of weekly, monthly and quarterly deliverables. Keep abreast with important macro-economic news/FX and rates market developments which impact emerging markets. Skillsets/ Competencies: Strong knowledge of financial market and economic fundamentals. Experience in econometric analysis/statistical modelling Advanced excel, charting and PowerPoint skills Experience or skills in Python/ Matlab/ Eviews or other statistical software is highly desirable Excellent quantitative skills and high level of attention to detail and accuracy Working experience of Bloomberg and Haver is preferred Strong written skills, including ability to effectively communicate economic/financial concepts Strong communication skills with proven ability to interact with global clients

The Data Science Analyst role at Citi within the GWFO team is a developing professional position that involves applying specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. The main responsibilities include identifying opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, the individual in this role will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. As a Data Science Analyst at Citi, you will be expected to: - Gather and process operational data from various cross-functional stakeholders to examine past business performance and identify areas for improvement. - Apply machine learning techniques to identify data patterns and trends and provide insights to enhance business decision-making capabilities in various areas. - Develop and implement machine learning models for predictive analytics, forecasting, and optimization. - Design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. - Experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. - Develop tools and techniques to evaluate the performance and impact of AI solutions. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and effectively communicate findings to business partners and senior leaders. - Continuously explore and evaluate new data sources, tools, and capabilities, focusing on cutting-edge AI technologies to improve processes and strategies. - Collaborate closely with internal and external business partners to build, implement, track, and enhance decision strategies. Skills and Experience: - 5+ years of relevant experience in data science, machine learning, or a related field. - Advanced process management skills, organized and detail-oriented. - Curiosity about learning and developing new skill sets, particularly in the area of artificial intelligence. - Positive outlook with a can-do mindset. - Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. - Experience with statistical modeling techniques, including regression, classification, and clustering. - Experience building GenAI solutions using LLMs and vector databases. - Experience with agentic AI frameworks, such as Langchain, Langraph, MLOps. - Experience with data visualization tools such as Tableau or Power BI. - Other skills required include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. Education: - Bachelor's/University degree or equivalent experience in a quantitative field such as computer science, statistics, mathematics, or engineering. Master's degree preferred. Working at Citi offers more than just a job - it means joining a global family of dedicated individuals where you can grow your career, contribute to your community, and make a real impact.,

As an Analytics Consultant at our Edapally, Kochi office, you will have the exciting opportunity to utilize your passion for data to solve business challenges for our esteemed clientele, including Fortune 500 companies spanning various regions. Your unique combination of Math, Business, Technology, and Creativity skills will enable you to deliver cutting-edge solutions that drive impactful results. You will be responsible for managing the end-to-end delivery of complex analytics projects within specified timelines, in alignment with TurnB's delivery standards. Your expertise will be instrumental in implementing descriptive, prescriptive, and predictive analytics, and effectively communicating insights to internal and external stakeholders. Additionally, you will play a key role in designing and automating enterprise-scale dashboards, reports, and scorecards to provide invaluable business insights across the organization. As a subject matter expert, you will guide the team in selecting appropriate analytical methodologies to address critical business issues. Collaborating with cross-functional client teams, you will offer strategic recommendations based on data analysis and trends, and support the implementation of mitigation strategies. Your ability to create impactful presentations and deliver insights to key stakeholders will be crucial in driving informed decision-making. Moreover, you will leverage your expertise in developing statistical models and algorithms to meet business requirements for planning and forecasting. Your strong analytical skills, problem-solving acumen, and strategic thinking will be essential in delivering exceptional business value and exceeding service delivery KPIs. To excel in this role, you should have at least 2 years of experience as an Analyst, a Master's in Business Administration, and a Bachelor's in Engineering. A consistent academic track record with over 60% aggregate marks or CGPA 6.0 is required. Proficiency in Microsoft Office tools, advanced SQL queries, data modeling, data mining, and statistical programming languages such as Python or R is preferred. Excellent verbal and written communication skills in English are essential for effective collaboration and presentation of insights. If you are a detail-oriented, organized professional with a passion for data analytics and a drive to deliver exceptional results, we invite you to join our dynamic team as an Analytics Consultant.,

The Economic Analyst, North America (NAM) position at Mastercard Economics Institute (MEI) involves engaging in data analytics and economic research for the U.S. and Canada. Reporting to the VP, Lead Economist for North America at MEI, you will be responsible for supporting client and stakeholder engagements, collaborating with external clients and partners, and generating initial insights to create impactful storylines and visuals. You will also be involved in synthesizing analyses into clear recommendations, writing reports and client presentations, enhancing existing products, and proactively seeking new knowledge to improve productivity. The role requires a Bachelor's degree in Economics, Statistics, or Mathematics, with experience in statistical modeling, quantitative analysis, and R development, focusing on economic research. Proficiency in SQL and Hadoop is essential, along with expertise in R, Python, or other statistical packages. Experience with Tableau is preferred, and knowledge of JavaScript for data visualization is a plus. Familiarity with econometric and statistical techniques such as predictive modeling, regression analysis, time series modeling, and data mining methods is necessary. A willingness to learn additional statistical applications and software is expected. Candidates with prior experience in the financial services industry will be given preference. Strong communication and writing skills are essential for this role, along with the ability to actively participate in thought leadership activities and contribute to the continuous improvement of quality and productivity within the organization.,

At Iron Mountain, we understand the importance of work done well and its positive impact on our customers, employees, and the planet. We are looking for smart and dedicated individuals to join our team. Whether you are starting your career or seeking a change, come talk to us and discover how you can enhance the value of your work at Iron Mountain. Iron Mountain offers expert and sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We take pride in partnering with over 225,000 customers globally to preserve their valuable artifacts, optimize their inventory, and ensure data privacy through innovative and socially responsible practices. If you are intrigued about being a part of our growth story and developing your skills in a welcoming culture that values your unique contributions, let's begin the conversation. For over 70 years, Iron Mountain Incorporated (NYSE: IRM) has been a strategic partner in caring for information and assets. As a global leader in storage and information management services, trusted by 95% of the Fortune 1000 companies worldwide, we focus on protecting, unlocking, and maximizing the value of your work, regardless of its format or location. We bridge the gaps between paper, digital, media, and physical data to extract value throughout its lifecycle, aiding in building organizational resilience with a core commitment to sustainability. Our partnership aims not only to preserve institutional knowledge and enhance efficiency, security, and access but also to elevate the meaning of your work, as it holds the power to accelerate and enhance your business. Iron Mountain is dedicated to driving meaningful change and is currently seeking an experienced Black Belt in Enterprise Business Process Improvement to join our Enterprise Excellence team. This role is crucial to our Global Business Services (GBS) platform and focuses on end-to-end process transformation across Iron Mountain's global operations. The appointed leader will spearhead initiatives to enhance efficiency, improve customer experience, streamline operations, and deliver measurable results. **Role Overview:** As a key member of the Enterprise Excellence team, you will lead a portfolio of improvement projects utilizing Lean, Six Sigma, DMAIC, Agile, and structured problem-solving methodologies. Your efforts will optimize critical processes, establish best practices, and leverage automation to align with Iron Mountain's strategic priorities. **Key Responsibilities:** - **Strategic Process Transformation & Standardization:** - Identify, standardize, and automate high-impact processes across GBS, ensuring alignment with enterprise goals and customer experience standards. Leverage best practices to create a unified approach to operational excellence. - **Portfolio Management & Prioritization:** - Operational Excellence Using Lean and Six Sigma: Apply Lean, Six Sigma, Agile, and other methodologies to streamline end-to-end processes. Conduct root cause analysis and deploy process control techniques to enhance operational efficiency, quality, and compliance across global teams. - **Cross-Functional Collaboration & Engagement:** - Collaborate with Global Process Owners to drive enhancements across critical GBS functions, aligning process improvements with broader business goals. Facilitate cross-functional workshops to encourage collaboration and implement impactful changes. - **Coaching & Change Management:** - Train and coach teams on continuous improvement principles, fostering a culture of operational excellence. Support change management efforts by establishing a framework for sustainable adoption and scaling best practices across the organization. - **Performance Tracking & Reporting:** - Establish and monitor key performance indicators (KPIs) for each project to track progress and measure results. Develop visual management tools and dashboards to offer real-time insights into process health and project impact, ensuring alignment with GBS leadership goals. **Functional Knowledge, Skills, And Competencies:** - Understands technology as a process enabler - Hands-on, meticulous, and capable of seeing the big picture - Skilled at breaking down problems and complex situations into actionable steps - Strong ability to map processes from current state to desired future state - Excellent problem-solving and analytical skills with a data-driven approach and solid business acumen - Known for driving and embracing change - Strong communication, training, and facilitation skills with the ability to influence others - Capable of operating independently in a fast-paced and evolving environment - Demonstrated results with Lean, Kaizen, and continuous improvement - Consistent track record of leading multi-functional teams - Willingness to travel up to 25%, primarily domestic - Familiar with agile methodologies and ways of working - Ability to engage and influence stakeholders at all levels - Proficient in multitasking in a fast-paced environment while effectively prioritizing tasks - Possesses learning agility and proactively seeks out new concepts and technologies to expand expertise - Strong coaching and mentoring competency **Candidate Education Requirements:** - 10+ years of experience, including industry Six Sigma Black Belt certification from an accredited institution - Bachelor's degree required, preferably in Engineering; Six Sigma Black Belt or Master Black Belt certification mandatory. An advanced degree such as an MBA is a plus - Proficiency in English language, both written and verbal **Background/Experience:** - Over 10 years of experience leading large-scale Six Sigma and Lean initiatives in global, cross-functional environments - Proven success in process mapping, standardization, and performance monitoring, particularly in high-impact business functions - Strong background in data analytics, KPI benchmarking, and statistical modeling to support data-driven decision-making and insights **Core Competencies:** - Mastery of Lean, Six Sigma, DMAIC, and Agile methodologies with expertise in statistical process control and structured problem-solving - Demonstrated capability in managing complex, multi-phase projects across departments with a track record of measurable outcomes - Ability to translate data insights into strategic process improvements and create visual management tools to communicate KPIs and process performance - Excellent verbal and written communication skills, adept at conveying complex information to diverse audiences, including senior leadership - Strong cross-functional skills to drive engagement and align teams around shared goals in an international setting **Industry Knowledge:** - Experience in Finance or IT industries is advantageous, bringing an understanding of specific regulatory, compliance, and operational requirements in these sectors At Iron Mountain, we are committed to providing storage and information management services to over 225,000 organizations in 60 countries. We secure our customers" critical business information, sensitive data, and cultural artifacts while reducing costs, mitigating risks, ensuring compliance, and facilitating digital and sustainable solutions across various sectors. If you require special accommodations due to a physical or mental disability, please email accommodationrequest@ironmountain.com. Learn more about our Equal Employment Opportunity commitment in the Supplement.,

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,

Are you seeking an exciting opportunity to join a dynamic and expanding team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business and provide a comprehensive view as a Vice President within the AI-first Strategic and Market Intelligence team for J.P. Morgan's Commercial & Investment Bank. In this role, you will be responsible for spearheading the establishment of the team, defining its strategic direction, promoting an AI-focused mindset, and utilizing advanced analytics to generate actionable insights. Leading an agile team, you will deliver strategic research and intelligence to the Commercial & Investment Bank Management team, aligning the research strategy with the business priorities of the Commercial & Investment Bank. Your key responsibilities will include defining and driving the research strategy in alignment with the CIB's business priorities, staying updated on AI application developments, fostering a culture of agility in adopting new AI applications, leveraging various data points for trend analysis, and assessing the impact of emerging trends on the business. You will oversee all research deliverables to ensure accuracy, relevance, and actionable recommendations that drive strategic value, while also building a culture of excellence within the team to enhance research deliverables. The qualifications, capabilities, and skills required for this role include an advanced degree in business administration, finance, economics, technology, or a related field, along with a minimum of 10 years of experience in a strategic leadership role. Preferred qualifications include an innovative AI-first mindset, proficiency in modern research tools, knowledge of machine learning techniques, excellent written communication skills, demonstrated success in leading high-performing teams, and senior-level experience in strategy, consulting, or innovation within the financial services industry. Additionally, knowledge of the financial services sector is preferred.,

As the Associate Director of Business Analytics at Zepto, you will play a crucial role in leading data-driven decision-making throughout the organization. Your responsibilities will include spearheading the business analytics function, collaborating with senior leadership to shape long-term strategies, and establishing a top-tier analytics team. This position necessitates a profound understanding of analytics, effective cross-functional teamwork, and a keen awareness of business drivers in a dynamic setting. You will be entrusted with a range of key responsibilities, such as overseeing analytics initiatives across various business units like Product, Growth, Supply Chain, Marketing, and Operations. Working closely with CXOs and senior executives, you will identify growth opportunities and provide guidance for data-informed strategic choices. Additionally, you will be responsible for developing and implementing company-wide metrics, reporting structures, and data processes to drive informed decision-making. Your role will also involve leading large-scale analytical projects encompassing customer segmentation, churn modeling, demand forecasting, and pricing analysis. Moreover, you will mentor and supervise a team of senior business analysts and analytics managers to deliver valuable insights and enhance operational efficiency. Creating scalable dashboards and automation pipelines to democratize data access across teams will be another crucial aspect of your responsibilities. Fostering a culture of experimentation, A/B testing, and rigorous performance evaluation will be essential in this role. Collaboration with Data Engineering and Product teams to ensure the availability of clean and reliable data infrastructure is also a key component. Your qualifications should include a Bachelor's or Master's degree in Engineering, Statistics, Economics, Mathematics, or a related quantitative field. You should have at least 8-12 years of experience in business analytics, with a minimum of 2-3 years in a leadership position. Prior exposure to high-growth startups, e-commerce, or consumer tech environments is highly desirable. The ideal candidate will possess advanced proficiency in SQL and hands-on experience with data visualization tools such as Tableau, Looker, or Power BI. Familiarity with Python, R, or similar tools for statistical modeling and automation is essential. Expertise in analytical techniques like forecasting, cohort analysis, LTV modeling, and funnel optimization will be advantageous. A deep understanding of business KPIs, particularly in consumer internet or operational analytics contexts, is crucial. Strong leadership skills, effective stakeholder management abilities, and outstanding communication and storytelling capabilities to translate complex data into actionable insights are also required for this role.,

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. Working with cross-functional stakeholders, you will gather and process operational data to examine past business performance and identify areas for improvement. Utilizing machine learning techniques, you will identify data patterns and trends, providing insights to enhance business decision-making capabilities in various areas such as business planning, process improvement, and solution assessment. Your responsibilities will include developing and implementing machine learning models for predictive analytics, forecasting, and optimization. You will design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. Furthermore, you will experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. Developing tools and techniques to evaluate the performance and impact of AI solutions will be part of your role. You will translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. Continuous improvement is key, and you will explore and evaluate new data sources, tools, and capabilities with a focus on cutting-edge AI technologies. Collaboration with internal and external business partners in building, implementing, tracking, and improving decision strategies will be essential. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, and have a curious mindset for learning and developing new skill sets, particularly in artificial intelligence. Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers are required. Experience with statistical modeling techniques, GenAI solutions, agentic AI frameworks, and data visualization tools like Tableau or Power BI is beneficial. Other essential skills include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. A Bachelors/University degree or equivalent experience is necessary for this role.,

The Balance Sheet Management Analyst is a seasoned professional role responsible for applying in-depth disciplinary knowledge to contribute to the development of new methodologies, data processing, visualization and analysis tools, and the improvement of processes and workflows for the Balance Sheet Management function. The Balance Sheet Management modeling group within the treasury team is crucial for developing statistical and non-statistical methodologies that directly impact Citigroup's Capital. This team's work is subject to heightened regulatory focus and scrutiny, focusing on the development of models and tools for Deposit duration, Fund Transfer Pricing, Customer Pricing, and other areas used in the IRRBB and treasury space. Key responsibilities of the Analyst include end-to-end development support of statistical models covering asset classes like Deposits or Fixed Income Securities, as well as specific functions such as Asset Allocation strategy. The Analyst is expected to demonstrate analytical/statistical skills, strong communication skills for documenting and presenting work, and stakeholder management abilities to understand requirements and develop suitable models. For non-statistical modeling projects, the Analyst should showcase good analytical skills to filter, prioritize, and validate complex material from multiple sources. The detailed responsibilities involve end-to-end development and governance of models in the treasury/IRRBB space, including econometric forecasting models for key Balance sheet and income statement line items. The Analyst applies analytical thinking, statistical knowledge, and attention to detail when making judgments and analytical recommendations based on data analysis. Model governance and support include timely submission of model documentations to stakeholders. Qualifications and other Requirements: - 2-4 years of relevant statistical modeling/econometrics experience in the financial domain. - PG/Masters/PhD in quantitative disciplines such as Statistics, Economics, Mathematics, or related fields preferred. - Experience in Time Series modeling and development of models and metrics related to ALM/IRRBB. - Hands-on experience with statistical techniques such as Linear Regression, Logistic Regression, Time Series, and more. - Working knowledge of Artificial Intelligence/Machine Learning techniques and programming skills in Python. - Experience with SQL, databases, and programming languages like SAS/R. - Domain knowledge in PPNR, Fixed Income Securities, Mortgage Modeling, and other financial concepts. - Demonstrated analytical skills and ability to synthesize quantitative and qualitative data to support decision-making. - Ability to manage multiple projects and deadlines effectively. This is a full-time position based in Mumbai at a C10 job level within the Finance Job Family Group under Non-Trading Market Risk Management.,

Aragen is looking for Junior Research Associate to join our dynamic team and embark on a rewarding career journeyAs 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.