214 Linear Regression Jobs - Page 9

We have a requirement on OFSAA/FCCM for one of our clients for contract to Hire role. Job Details: Skills: OFSAA/FCCM Experience: 4+ Years Location: PAN INDIA Job type: Contract to Hire Job Description:- 1. OFSAA/FCCM Primary Skills are : OFSAA , FCCM suite of product specializing on Enterprise case management(ECM). Hands on Experience in ECM Correlation. Hands on experience in running batch through OFSAA RRF. Familiar in ECM Security Attributes and configuration Understanding of ECM Integration with Third Party Applications Job Description: Should have minimum 3 to 5 years of total experience, of which the resource should have worked on OFSAA project for minimum 1 years or worked with OFSS for minimum 1-3 years in his career Working Knowledge in FCCM suite of product specializing on Enterprise case management and upgrading from old version to 8.0.x version Hands on experience in ECM/AML Installation. Have hands on experience on migrating ECM Case from FCCM 6.x version. Working knowledge in Data Movement from FCCM BD to ECM. Hands on Experience in ECM Correlation. Hands on experience in running batch through OFSAA RRF. Familiar in ECM Security Attributes and configuration Understanding of ECM Integration with Third Party Applications

About the Role We are seeking a Data Scientist with strong expertise in Python and SQL to join our growing data team. Youll work on data modeling, predictive analytics, and business intelligence projects that directly impact strategic decision-making. Key Responsibilities Extract, clean, and transform data from multiple sources using SQL and Python. Build predictive models and machine learning algorithms for business use cases. Perform exploratory data analysis (EDA) and generate actionable insights. Create interactive dashboards & reports (Power BI/Tableau). Optimize and maintain data pipelines, ETL processes, and workflows . Collaborate with cross-functional teams to translate business needs into analytical solutions. Present analytical results in a clear, visual, and business-friendly format. Required Skills 1–5 years of experience in Data Science or Data Analytics roles. Strong proficiency in Python (NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn). Advanced SQL skills (complex queries, joins, window functions, optimization). Understanding of machine learning algorithms and statistical methods. Experience in data visualization tools (Power BI, Tableau, or similar). Strong problem-solving and analytical skills. Bachelor’s/Master’s in Computer Science, Data Science, Statistics, Mathematics, or related fields. Nice to Have Familiarity with cloud platforms (AWS, Azure, GCP). Exposure to Big Data tools (Spark, Hadoop). Basic understanding of APIs and automation scripts . What We Offer Competitive industry-standard salary + performance incentives. Flexible working hours & hybrid/remote opportunities. Exposure to real-world, high-impact projects .

1. Classical AI/ML(Regression, trees, Naive Bayes) 2.Generative AI (GenAI) - LLM frameworks like OpenAI API, Hugging Face, and LangChain , GPT 3. Familiarity with REST API development using FastAPI/Flask Required Candidate profile 1.Familiarity with REST API development using FastAPI/Flask 2. Experience in Python, NumPy, Pandas, Scikit-learn Looking for Immediate Joiners

Type : Internship Duration: 6 months Position Overview: We are seeking a Data Analyst - Return Experience to support analytics and insights for improving the return process and fraud reduction. The role involves working closely with cross-functional teams to monitor return metrics, identify fraud, inefficiencies, and provide actionable insights. The ideal candidate will have to be a self-starter, must have a strong analytical mindset, a passion for solving complex problems, and have the ability to work with large datasets with great ease Key Responsibilities:. Analyze data to identify inefficiencies in current workflows and recommend data-backed solutions. Regularly monitor, analyze and provide insights related to return metrics such as fraud, fraud rates, return speed, return rate, and customer feedback. Assist in identifying fraud patterns and inefficiencies within the return supply chain. Create visual dashboards and reports for easy consumption by stakeholders. Monitor return speed and identify areas for quality improvement in reverse logistics. Track key OKRs impacting seller experience and provide actionable insights to stakeholders. Support automation of reports and dashboards to streamline data reporting processes. Provide data insights to help stakeholders improve return operations and fraud prevention processes. Qualifications: Bachelor s degree in a relevant field (e.g., Data Analytics, Statistics, Mathematics, Computer Science). 0-2 years of experience in data analytics or a related field. Proficiency in SQL, Python and Microsoft excel Basic understanding of Python or R for data analysis (preferred but not mandatory). Strong analytical and problem-solving skills, with attention to detail. Good communication skills and the ability to collaborate with cross-functional teams. Eagerness to learn and grow in a fast-paced, data-driven environment.

We are looking for a Senior Data Scientist who is passionate about solving complex business problems using data. The ideal candidate will have strong hands-on experience in Python , SQL , and advanced machine learning algorithms , along with domain expertise in forecasting , pricing optimization , or inventory planning . You will work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies. Key Responsibilities: Design, build, and deploy predictive and optimization models for use cases such as demand forecasting , dynamic pricing , or inventory optimization . Translate business problems into analytical frameworks and provide actionable insights. Build and maintain scalable data pipelines and model workflows using Python and SQL. Collaborate with data engineers to ensure model integration into production systems. Present findings and recommendations to leadership using data visualizations and storytelling. Stay current with the latest techniques in machine learning , statistics , and operations research . Lead and mentor junior data scientists and analysts when required. Required Skills and Experience: 5+ years of experience in a Data Science or Analytics role with a strong business impact. Strong programming skills in Python (pandas, scikit-learn, statsmodels, etc.). Proficiency in SQL for data extraction, transformation, and manipulation. Deep understanding of machine learning algorithms (regression, classification, clustering, time series forecasting). Experience with one or more of the following domains: Demand Forecasting Price Optimization Inventory Optimization / Supply Chain Analytics Strong problem-solving and quantitative skills. Experience working with large datasets and distributed computing tools (e.g., Spark, Hadoop) is a plus. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Preferred Qualifications: Masters or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related field. Experience in retail, e-commerce, manufacturing, or logistics is a strong plus. Exposure to optimization libraries (e.g., PuLP, OR-Tools, Gurobi) is a bonus. Experience deploying models using MLOps tools or platforms is a plus.

We are Looking for Immediate Joiners Who can Join us with in 15 Days About Us: DataBeat.io is a data and analytics services company that provides big data, analytics, and operations management services to various companies globally. Working at DataBeat.io helps you to be at the forefront of the big data and analytics ecosystem. You will work with clients who are leading companies that develop breakthrough solutions, concepts that are shaping the technology world, and cutting-edge tools. Fast-growing company where your performance and contribution could move you into leadership positions fairly quickly. Now we're a part of Media mint https://mediamint.com/ Key Roles and Responsibilities: AI/LLM Projects: Assist in developing applications using latest LLMs (ChatGPT, Claude, Gemini), Gen AI. Support campaign optimization using statistical and machine learning models Analyze advertising performance metrics and trends Contribute to predictive modelling for ad performance Help develop automated optimization algorithms Key Responsibilities: Analyze large datasets (>100mn's rows) to extract actionable insights Develop and maintain ML models for campaign optimization Assist in creating and maintaining data pipelines Build and improve dashboard visualizations Support A/B testing and performance analysis Collaborate with cross-functional teams Document technical processes and findings Required Qualifications: Bachelor's degree in Computer Science, Data Science, Mathematics, or related field 2-4 years of experience in data science or related field Strong Python programming skills (Pandas, NumPy, Scikit-learn) Understanding of statistical analysis and machine learning concepts Experience with data visualization tools (Looker, Tableau, or similar) Basic SQL knowledge Strong analytical and problem-solving skills Nice to Have: Experience with LLM frameworks and prompt engineering Knowledge of programmatic advertising Familiarity with cloud platforms (GCP) Understanding of digital advertising metrics and KPIs: Technical understanding of the programmatic advertising ecosystem from Ad Servers, DSPs, SSPs, Ad Verification vendors and agencies is a big plus, but not essential Version control experience (Git) Familiarity with tree-based methods and gradient boosting techniques. Technical Skills: Programming: Python, SQL ML Libraries: Scikit-learn or equivalent, PyTorch Data Analysis: Pandas, NumPy Visualization: Matplotlib or equivalent, Seaborn or equivalent BI Tools: Looker LLM Tools: Lang Chain or equivalent Personal Qualities: Strong curiosity and eagerness to learn Good communication skills Ability to work in a fast-paced environment Detail-oriented and organised Team player with collaborative mindset Self-motivated and proactive We are looking for someone who is passionate about both AI technologies and data-driven advertising optimization, with the ability to balance multiple projects and learn quickly.

Responsibilities: Operate and tend boilers & auxiliary equipments such as pumps, compressors and air-conditioning equipment, to supply and maintain steam or heat to pneumatic tools. Observe and interpret readings on gauges, meters and charts registering various aspects of boiler operation to ensure that boilers are operating properly. Test boiler water quality or arrange for testing and take necessary corrective action, such as adding chemicals to prevent corrosion and harmful deposits. Activate valves to maintain required amounts of water in boilers, to adjust supplies of combustion air, and to control the flow of fuel into burners. Monitor boiler water, chemical and fuel levels, and make adjustments to maintain required levels. Monitor and inspect equipment, computer terminals, switches, valves, gauges, alarms, safety devices and meters, periodically, to detect leaks or malfunctions and to ensure that equipment is operating efficiently and safely. Analyze problems and take appropriate action to ensure continuous and reliable operation of equipment and systems. Maintain daily logs of operation, maintenance and safety activities, including test results, instrument readings and details of equipment malfunctions and maintenance work. Adjust controls and valves on equipment to provide power, and to regulate and set operations of system or industrial processes. Required Skills: Communication (written & verbal), Planning, Problem Solving, Troubleshooting, Learning Skills. Critical Thinking, Problem Sensitivity Required Qualification:- ITI - RFM

What you’ll do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

Responsibilities: Responsible for Maintenance activity. Responsible for equipment's' health, maintenance work. Responsible for plant's housekeeping. Monitor plant to ensure efficient production. Required Skills: Operations & maintenance of chillers, brine plant, nitrogen system, cooling tower, water distribution system, chemical dosing techniques. Logical thinking. Organizing. Required Qualification: - ITI - RFM

About OJ Commerce: OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States. As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually. Responsibilities: • Develop, validate, and implement advanced statistical models, including mixed effects models, structural equation modelling, generalized additive models (GAMs), Bayesian modelling, and hierarchical models to address complex business challenges. • Analyze large datasets using statistical techniques to extract actionable insights and trends. • Collaborate with stakeholders to understand business needs and translate them into analytical solutions. • Present findings and recommendations clearly to both technical and non-technical audiences. • Stay current with industry trends, statistical methodologies, and best practices in data analysis. • Document methodologies and results, ensuring transparency and reproducibility of models. • Conduct exploratory data analysis to inform model development and improve accuracy. • Participate in continuous improvement initiatives to enhance modelling processes and tools. Qualifications: • Masters degree or above in Statistical Sciences. • Proven experience in statistical modeling, data analysis, and predictive analytics. • Very strong proficiency in statistical software (e.g., R, Python, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI). • Strong understanding of advanced statistical techniques, including regression analysis, time series forecasting, mixed effects models, structural equation modeling, generalized linear models (GLMs), machine learning algorithms (e.g., decision trees, random forests, support vector machines), and Bayesian inference. • Excellent problem-solving skills and attention to detail. • Strong communication skills, with the ability to convey complex statistical concepts to diverse audiences. • Experience with data management and database systems (e.g., SQL) is a plus. What we Offer • Competitive salary • Medical Benefits/Accident Cover • Flexi Office Working Hours • Fast paced start up

The ideal candidate is an Assoc. Cybersecurity Engineer with a strong background in AI/ML. In this role, you will be responsible for designing and implementing solutions that leverage Large Language Models (LLMs) and agentic AI systems to enable automation across a range of security functions. You will work closely with security leads and subject matter experts to apply AI and machine learning to inline security platforms, including firewalls, proxies, SASE, and Arbor DDoS systems. Your key duties will involve optimizing models, managing the full MLOps lifecycle from data to deployment, and writing high-quality Python code. Strong proficiency in frameworks like LangChain, Hugging Face, or LlamaIndex is essential. Experience with containerization (Docker/Kubernetes) is also required to streamline model deployment and integration. Essential Functions: Design and Develop AI Solutions: Architect and implement solutions leveraging Large Language Models (LLMs) and transformer models. This includes fine-tuning, adapting, and optimizing models for specific applications. Optimize and Scale Models: Implement and enhance machine learning and Deep Learning models, focusing on performance, scalability, and efficiency. Build Autonomous AI Systems: Collaborate on the development and integration of agentic AI systems that can make autonomous decisions to automate complex processes. Manage the ML Lifecycle: Contribute to the full machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, tuning, deployment, and monitoring. Implement MLOps: Apply MLOps practices to automate and streamline model deployment pipelines, versioning, continuous integration, and delivery. Write High-Quality Code: Develop clean, efficient, and maintainable Python code to build both ML models and AI-driven applications. Collaborate Cross-Functionally: Work closely with data engineering, software development, and product teams to successfully deploy models into production environments. Innovate and Stay Current: Stay informed on the latest advancements in AI research and emerging technologies to continuously innovate and improve our solutions. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications: Bachelors degree, OR 3+ years of relevant work experience Preferred Qualifications: Bachelors degree, OR 3+ years of relevant work experience 2 or more years of work experience. Minimum of 3-5 years of experience in AI/ML engineering with a bachelors degree, or 2+ years of experience in Agentic AI with an advanced degree or Certificate. Proven Track Record: Demonstrated experience in training, fine-tuning, and optimizing machine learning models for real-world applications. Generative AI: Strong experience developing solutions with Large Language Models and generative AI frameworks such as LangChain, Hugging Face, or LlamaIndex. Agentic AI: Familiarity with the concepts and implementations of agentic AI or autonomous AI agents is highly preferred. MLOps: A solid understanding of machine learning algorithms (e.g., linear regression, classification, clustering). Practical knowledge of MLOps, including model deployment tools, CI/CD pipelines, containerization (Docker/Kubernetes). Technical Proficiency: Strong proficiency in Python with expertise in ML and GenAI frameworks like TensorFlow, PyTorch, Scikit-learn, LangChain, or LangGraph. Data Workflows: Solid understanding of data workflows, including data collection, cleaning, transformation, and feature engineering. Strong programming skills in Python, with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Familiarity with firewalls, containerization tools such as Docker and Kubernetes. Prior internship or project experience in a related field.

We are seeking an experienced Advanced Analytics Specialist to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background and a passion for transforming complex data into actionable insights. Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 3+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc. ) for various objectives Hyper parameter tuning Prompt Engineering Embedding Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. What We Offer: Opportunities for professional development and career growth. A collaborative and innovative work environment. If you are passionate about data analytics and want to make a significant impact in the retail/CPG industry, we encourage you to apply! Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent

We are seeking an experienced Advanced Analytics Specialist to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background and a passion for transforming complex data into actionable insights. Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 3+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc. ) for various objectives Hyper parameter tuning Prompt Engineering Embedding Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. What We Offer: Opportunities for professional development and career growth. A collaborative and innovative work environment. If you are passionate about data analytics and want to make a significant impact in the retail/CPG industry, we encourage you to apply! Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent

DCI Marketing, Inc. . Assist with building a functional Analytics Center of Excellence practice in both custom and purchased platform environments. The DCI Marketing Team is seeking an experienced and highly motivated professional to work in an individual contributor (IC) lead role for the Business Intelligence and Analytics team. This role is both hands-on and serves to meet timelines and quality requirements. The candidate will assist with building a functional Analytics Center of Excellence practice in both custom and purchased platform environments. Key Responsibilities / Functions: Translate functional and non-functional requirements into effective designs and development specifications. Responsible for transforming Data into - > Information -> Knowledge - > Business Decisions Delivers extensive data warehouse, data mart and dimensional models for Analytics Center of Excellence. Responsible for streamlining dataflow pipelines across various programs and products. Responsible for identifying trends and patterns in data leading to increased effectiveness of digital programs. Responsible for Data related documentation and visual communications. Provide guidance to other delivery and operations team members. Architect, design, develop, and support Snowflake services and warehouse. Required Qualifications: (Education, Technical Skills/Knowledge) 8 10 + years of experience in data architecture and management. Experience with Snowflake DB (Strong programming knowledge using Snowflake, SnowSight and Snowpipes) is a requirement. Experience with data modeling tools and techniques is essential, Data warehouse, OLAP/Cube, Tabular Model/Cube design experience using Kimball Method best practices. Experience in the use of machine learning methods, for example, linear regression, correlation, statistical modeling. Experience with MS SQL Server, Cosmos DB Experience in writing complex, highly optimized SQL queries across large data sets. Experience in managing the Data pipelines. Azure MSBI Architect/Develop Experience (Azure SQL DB, ADLS, Azure DW, ADF) Google Analytics and Social Media Analytics experience desired. Prescriptive/predictive analytics experience desired. Experience implementing Database Management Systems for custom developed and purchased business applications. Personal Characteristics and Attributes Solid English written and verbal communication skills. Able to engage other leaders to understand strategy, articulate options, evaluate tradeoffs and influence key decisions. Strong analytical and complex problem-solving skills. Inquisitive nature & self-starter who can implement with minimal guidance. Ability to communicate complex information to technical and non-technical stakeholders. Strong desire in learning new technologies and methodologies Senior technical expert that has worked with global teams and mentors other team members Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law .