324 Linear Regression Jobs - Page 2

We don't need Business Analyst or BI Candidate, as this is Data Analyst role. Role Characteristics: Analytics team provides analytical support to multiple stakeholders (Product, Engineering, Business development, Ad operations) by developing scalable analytical solutions, identifying problems, coming up with KPIs and monitor those to measure impact/success of product improvements/changes and streamlining processes. This will be an exciting and challenging role that will enable you to work with large data sets, expose you to cutting edge analytical techniques, work with latest AWS analytics infrastructure (Redshift, s3, Athena, and gain experience in the usage of location data to drive busine...

About The Role Project Role Software Development Lead Project Role Description Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills Machine Learning Good to have skills NA Minimum 3 year(s) of experience is required Educational Qualification 15 years full time education Summary As a Software Development Lead, you will be responsible for developing and configuring software systems, either end-to-end or for specific stages of the product lifecycle. Your typical day will involve collaborating with team member...

The opportunity: Support decision-making based on market data, collaborating on nurturing a data-driven culture. Gather, interpret data and analyze results using analytics, research methodologies and statistical techniques, assessing BU and GPGs needs, playing a key role during the M&S yearly cycle (mainly Market Input Market Outlook -MIMO, Strategic Planning, Global Target Setting -GTS). How youll make an impact: Being the person of reference in the GPG, together with the GPMM, on the market intelligence and analytical tools, dashboards, excel-based files, SalesBI/ PowerBI /STRATOS/Anaplan/MIS. GPG Mekko/STRATOS preparation, production and alignment for the main Hitachi Energy Global proces...

As a Data Scientist at Hakimo, you will help us transform and surface all of this data in the most intelligible and impressive ways to the end-user so that they can make the best use of our platform. Responsibilities Manage ETL pipelines from SQL database to the data warehouse Build anomaly detection algorithms for certain physical security use-cases Build visualizations, dashboards and reports using Tableau and other tools Communicate and gather requirements from customers on their reporting needs and implement them as needed Incorporate feedback from customers on Hakimo Insights dashboards Qualifications 3+ years of professional experience as a data scientist or related role Strong knowled...

As a Manager in the Pricing Strategy team at KPMG Global Services (KGS), your role will involve working closely with client staff and management to develop and deliver pricing solutions and recommendations. You will collaborate with client teams, conduct data analysis, lead project teams, build relationships with clients and stakeholders, and contribute to business development activities. Your responsibilities will also include team management, performance management, and driving commercial goals to achieve target hours and penetration. Key Responsibilities: - Work collaboratively with client staff and management in developing pricing solutions and recommendations - Understand client system ...

Role Overview: As a TradeFinder Quant Analyst at Deutsche Bank in Mumbai, India, you will be part of the Group Strategic Analytics (GSA) team, where analytics and technology play a central role in various units of the bank, including Investment Bank, Corporate Bank, and Risk and Control functions. The team focuses on developing a scalable Front Office pricing and risk management system to ensure consistency in analytics and technology platform across different parts of the bank. Key Responsibilities: - Collaborate with global teams on quantitative and regulatory projects, understanding business problems, gathering required information, and providing optimized solutions on a scalable platform...

Bachelor s degree in business, Proven experience as a Data Engineer in a software development environment. Strong understanding of Data Integration Excellent communication, facilitation, and coaching skills. Ability to work collaboratively in a fast-paced environment. Proficient in Python and Machine Learning Ideally you will also have Python Development Develop, test, and maintain high-quality Python code Utilize advanced Python features, including classes and object-oriented programming, to create efficient and reusable code. Leverage data manipulation libraries such as Pandas and NumPy to process and analyze large datasets effectively. Machine Learning Integration Collaborate with cross-f...

About the role We at Leap are looking to hire an intern for our Product team. It is a multifaceted and critical positionthat involves working closely with the Senior Leaders for driving special projects. Key Responsibilities Work closely with the senior leaders turning concepts into tangible achievement Dive into industry trends, discover competitor insights while also working on user research Build a hypothesis to solve the different problem statements, execute, validate and scale theresults Align with stakeholders across the org to drive the actionables; be a driving force incross-functional teams Assist in presenting findings, recommendations, and progress updates to leadership Support ke...

Roles & Responsibilities: Build and deploy predictive and prescriptive machine learning models to solve business problems. Collect, clean, and transform structured/unstructured data using Python, SQL, and data pipelines. Conduct exploratory data analysis (EDA), identify patterns, and generate actionable insights. Collaborate with business, analytics, and engineering teams to define data-driven solutions. Design and automate dashboards and KPIs to monitor model performance and business impact. Apply statistical, ML, and deep learning techniques for classification, regression, clustering, and NLP tasks. Present findings and recommendations to stakeholders through visual storytelling and report...

Salary : 30 to 45 LPA Exp: 7 to 12 years Location :Mumbai Only Notice: Immediate to 30 days..!! Roles & responsibilities: 7+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machin...

Salary : 15 to 35 LPA Exp: 2 to 6 years Location :Pune/Gurgaon/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 2+ years exp on Python , ML and Gen Ai model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data a...

8+ years of experience in Life Science / Pharmacy Hands on experience in statistical programming languages like R, Python, Good to have experience in Thingworx analytics and database query languages like SQL, Hive and Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators etc. Good knowledge of machine learning methods like k-Nearest neighbors, nave bayes, SVM and decision forests. R OR Python + ML + Regression + classification + clustering + SVM (support vector machine) + decision trees / random forest.

Duties and Responsibilities: Large scale data analysis and data mining to come up with portfolio insights for both Retail and WBG portfolio Statistical modeling (ML / regression models) and segmentation thru decision tree to help solving key business problems Help plan and design business processes and make recommendations for improvement Assist in resolving business issues using systems and data Estimate costs and benefits of multiple actions and/or solutions and provide recommendations Help launch new initiatives, campaigns, analytical solutions, along with robust tracking Help in running standard and analytical dashboard/ MIS Requirement: Experience : 5+ years in analytics industry ( Fina...

Key Responsibilities: Design, develop, and maintain robust and scalable analytics platforms and data pipelines. Build backend services and APIs to support data access, aggregation, and visualization. Collaborate with product managers, analysts, and data scientists to understand requirements and deliver end-to-end solutions. Optimize data systems for performance, scalability, and cost-efficiency. Implement data quality, security, and governance best practices. Troubleshoot production issues and ensure reliability of analytics systems. We are looking for 4 to 9 years of experience. Relevant Experience in - Advanced analytics, Statistics or Predictive Modelling includingSupervised (Linear Regre...

Job Summary: The Data Science Manager will lead teams in designing and implementing advanced analytics and AI solutions for clients across industries. The role involves managing a team of data scientists, collaborating with business and technology stakeholders, and delivering insights that drive strategic decision-making. The candidate will work on data-driven initiatives spanning predictive modeling, machine learning, and AI-enabled solutions. Key Responsibilities: Lead and mentor a team of data scientists, analysts, and ML engineers . Drive end-to-end data science projects including problem definition, data collection, model development, and deployment. Collaborate with clients and interna...

Description oGenerative AI ?Experience in developing Generative AI based applications. ?Knowledge of various GenAI techniques and frameworks. oPython oMachine Learning model development and deployment. oAzure AI services oOptional skills but good to have ?SQL ?API development Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade C Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family 60236 (P) Software Engineering Local Role Name 6504 Developer / Software Engineer Local Skills 57684 Azure AI Languages RequiredEnglish Role Rarity To Be Defined

Job Description: As a web developer at this company, your role will involve developing and maintaining web applications using Python, Django, and Flask. You will be responsible for writing clean, efficient, and reusable code while also designing and implementing RESTful APIs. Additionally, you will need to assess whether a given problem can be addressed using advanced data analytics and/or various machine learning techniques. You will also work on ideas for data collection, clean and structure the data by applying feature-engineering techniques, and train models for designing, developing, and implementing POCs. Key Responsibilities: - Develop and maintain web applications using Python, Djang...

Key Responsibilities Design, train, and fine-tune LLMs and NLP models using frameworks like LangChain, Hugging Face, Transformers, and PyTorch . Build RAG (Retrieval-Augmented Generation) systems using vector databases (Pinecone, FAISS, Milvus) . Develop scalable ML pipelines for data preprocessing, embeddings, and inference optimization . Collaborate with data engineers and product teams to deploy models on cloud (AWS, Azure, GCP) . Evaluate model performance using metrics such as BLEU, ROUGE, perplexity, and latency. Integrate GenAI APIs (OpenAI, Claude, Bedrock, Gemini, Azure OpenAI) for enterprise use cases. Contribute to research, PoCs, and AI-driven product innovation . Required Skills...

General Summary: Job Summary: 8-14 years of experience in Performance Validation (preferably AI/ML workloads) on complex CPU/GPU/NPU chipsets/IPs QDSP team is responsible for delivering high-performance NSP (neural signal processor) cores which are at the heart of Qualcomm's multi-tier SoC roadmap targeted for mobile space. Qualcomm is the largest fabless design company in the world, generating over $15 Billion in annual revenues from chipsets and royalties from intellectual property. Qualcomm provides hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace. Job Responsibilities: In this highly visible and interactive role, ...

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with cross-functional teams to understand business needs, an...

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with cross-functional teams to understand business needs, an...

About The Role Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning...

About Neudesic Passion for technology drives us, but its innovation that defines us From design to development and support to management, Neudesic offers decades of experience, proven frameworks, and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster What sets us apart from the rest is an amazing collection of people who live and lead with our core values We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity If these attributes mean something to you we'd like to hear from you We are currently looking for Sr Data Sc...

As a Data Scientist at Infosys Consulting, you will be part of a specialized customer-facing AI Labs team within the Automation & Artificial Intelligence Consulting Practice. Your role will involve working closely with AI Consultants and SMEs to define and deliver best-in-class solutions. You should be entrepreneurial, possess strong design skills, be highly analytical, emotionally intelligent, a team player, and driven by making a meaningful impact through your work. This role offers exceptional opportunities for personal growth and recognition for your contributions to developing new opportunities and thought leadership in artificial intelligence and automation domains. - Establish product...

Role Overview: You should have a good understanding of various Generative AI techniques including GANs, VAEs, and other relevant architectures. Your experience in applying these techniques to real-world problems for tasks such as image and text generation will be crucial. Make sure you are conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling. Exposure to both API-based and open-source LLMs based solution design is expected. Key Responsibilities: - Get to the heart of customer issues, diagnose problem areas, design innovative solutions, and facilitate deployment resulting in client delight as part of the Infosys consulting team. -...