3292 Data Scientist Jobs - Page 5

About the job Position: Assistant Manager/Manager Credit Risk What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

This role is responsible for managing the client expectations. Strategize with various stakeholders to meet customer requirements. KEY RESPONSIBILITIES Data Science: Develop machine learning models to support recommendation systems and NLP projects; provide actionable insights for product and service optimization Data Engineering: Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics Data Analysis and Insight Generation: Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services Stakeholder Collaboration: Work with product and service teams to understand data needs and translate them into technical solutions Working Relationships Reporting to Project Manager External Stakeholders ClientsSkills/ Competencies Required Technical Skills Proficiency with Python (Pandas, NumPy), SQL, and Java Experience with LLMs, LangChain, and Generative AI technologies Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka) Microservices, CI CD, ML Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly Soft Skills Work in a team/ Independently. Excellent Written & Verbal Communication Skills Solid critical thinking and questioning skills High degree of flexibility - willing to fill in the gaps rather than relying on others Strong communication skills, especially in presenting data insights Flexibility, problem-solving, and a proactive approach in a fast-paced environment

This role is responsible for managing the client expectations. Strategize with various stakeholders to meet customer requirements. KEY RESPONSIBILITIES Data Science: Develop machine learning models to support recommendation systems and NLP projects; provide actionable insights for product and service optimization Data Engineering: Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics Data Analysis and Insight Generation: Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services Stakeholder Collaboration: Work with product and service teams to understand data needs and translate them into technical solutions Working Relationships Reporting to Project Manager External Stakeholders ClientsSkills/ Competencies Required Technical Skills Proficiency with Python (Pandas, NumPy), SQL, and Java Experience with LLMs, LangChain, and Generative AI technologies Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka) Microservices, CI CD, ML Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly Soft Skills Work in a team/ Independently. Excellent Written & Verbal Communication Skills Solid critical thinking and questioning skills High degree of flexibility - willing to fill in the gaps rather than relying on others Strong communication skills, especially in presenting data insights Flexibility, problem-solving, and a proactive approach in a fast-paced environment

Greetings from HCLTECH! Role: Data Scientist Location: Bangalore Experience: 10+ Years Notice Period: Immediate to 45 Days Interested candidates, please share the resumes to amrin.a@hcltech.com along with the below details Mandatory Skills: #machinelearning #nlp #mlops #aws #generativeai Candidate Name Contact Number Email ID Total years of experience Relevant experience Notice Period Current Company Current loc Pref loc Key Responsibilities: 1. Machine Learning & Data Science: a. Apply advanced analytics and machine learning techniques such as XGBoost, random forest, deep learning, and neural networks. b. Proficiency: Required 2. MLOps: a. Deploy, scale, consume, and monitor models using tools like MLFlow, Airflow, Git Actions, Terraform, and CloudFormation. b. Proficiency: Required 3. Cloud Technologies: a. Utilize AWS services including Lambda functions, ECS, ECR, Datazone, Sagemaker AI, DynamoDB, and AWS Glue. b. Proficiency: Required 4. Data Modelling: a. Understand basic data analysis and modelling concepts. b. Proficiency: Preferred 5. ML/DL Tools: a. Use tools such as Spark, TensorFlow, PyTorch, and Scikit-learn. b. Proficiency: Required 6. Data Analysis: a. Perform statistical data analysis, machine learning techniques, Bayesian methods, neural networks, and ensemble methods. b. Proficiency: Required 7. Scripting: a. Write and maintain scripts using Python. b. Proficiency: Required Soft Skills: Communication: Excellent communication and presentation skills. Proficiency: Required Analytical Mindset: Ability to analyze, comprehend, and respond to situations effectively. Proficiency: Required Team Work: Strong interpersonal skills, adaptability, and flexibility. Proficiency: Required

Roles and Responsibilities Develop and deploy machine learning models using Python, SQL, FastAPI, OOPs concepts, NLP, Computer Vision, Generative AI. Collaborate with cross-functional teams to integrate data science solutions into existing systems on Azure/GCP platforms. Analyze complex business problems to identify opportunities for process improvements through data-driven insights. Communicate technical findings and recommendations effectively to non-technical stakeholders.

As a Senior Data Scientist AI, you will lead the design and development of machine learning and generative AI models that enhance our platform. You will work closely with engineers, product managers, and cybersecurity SMEs to innovate how we analyze architectures, assess risks, and automate threat intelligence. This is a hands-on, highly strategic role that requires both technical depth and product insight. Key Responsibilities Design and implement ML and NLP models for use in analysis, pattern recognition, and AI-powered automation. Build and evaluate generative AI models (e.g., LLMs or RAG pipelines) to automate threat model generation and risk recommendations. Collaborate with product and engineering to align AI solutions with customer pain points and business goals. Conduct data discovery, wrangle large security and architecture datasets, and ensure data quality for training and inference. Lead experiments, performance tuning, and model deployment using MLOps best practices. Develop reusable components and contribute to internal AI frameworks and libraries. Interpret and communicate complex data science results to non-technical stakeholders. Mentor junior data scientists and help define the future AI roadmap at ThreatModeler. Required Qualifications 5+ years of industry experience in data science, machine learning, or AI development, preferably in enterprise software or cybersecurity. Advanced degree (MS or PhD) in Computer Science, Data Science, Statistics, or a related field. Strong experience in NLP, LLMs (e.g., OpenAI, Cohere, Anthropic), and transformer architectures. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face). Deep understanding of model evaluation, bias/fairness, data preprocessing, and statistical analysis. Familiarity with cloud environments (AWS/GCP/Azure) and containerized model deployment (Docker, Kubernetes). Experience working with graph-based models, threat intelligence, or security ontologies is a strong plus. Preferred Qualifications Experience with MLOps tools (MLflow, Vertex AI, SageMaker). Understanding of threat modeling methodologies Background in building SaaS AI solutions for large-scale enterprise clients.

Hi Job Seekers We have openings for Data Science, Looking for Immediate Joiners Mail ID - mallem.mounika@spsoftglobal.com Description: JOB RESPONSIBILITY • Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. • Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. • Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. • Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. • Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. • Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. • Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. • Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. • Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. • Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. • Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment. QUALIFICATION Minimum education: Bachelors degree in any Engineering Stream Specialized training, certifications, and/or other special requirements: Nice to have Preferred education: Computer Science/Engineering. EXPERIENCE Minimum relevant experience - 4+ years in AI Engineering SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members Enable Skills-Based HiringNoPrimary Skill Set Microservices LLM, Agentic AI Framework, Predictive modelling

What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

Senior Data Scientist - AI/ML About the Team: ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals. What you can look forward to as Senior Data Scientist -AI/ML (m/f/d): Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL). Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms. Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques. Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training methods for deep neural networks. Prototype and explore the potential of advanced machine learning models, including deep learning architectures like convolutional neural networks (CNNs) or recurrent neural networks (RNNs). Contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. This may involve improving existing algorithms or exploring entirely new approaches. Focus on theoretical aspects of model design, such as improving model efficiency, reducing bias, or achieving explainability in complex models. Document research methodologies, experimental procedures, and theoretical contributions for future reference and knowledge sharing within the research community. Contribute to the development of the research team''s long-term research goals and strategies. Your profile as Senior Data Scientist- AI/ML(m/f/d): Master''s degree in Mathematics, Computer Science or other related technical fields. Phd is good to have. 8+ years of experience in research development, with a strong understanding of data structures and algorithms. 5+ years of experience building and deploying machine learning models in production. Proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing systems and large-scale data processing. Excellent communication and collaboration skills. Contribution to invention disclosure process. A strong publication record in top machine learning conferences or journals.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business. The role will be based in Bengaluru, India Essential Functions Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems Communicate with clients to understand the challenges they face and convince them with data Extract and understand data to form an opinion on how to best help our clients and derive relevant insights Develop visualizations to make your complex analyses accessible to a broad audience Find opportunities to craft products out of analyses that are suitable for multiple clients Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • Bachelor’s or Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field • 5+ years of work experience with a bachelor’s degree or 2+ years’ experience with an advance degree (e.g., Master’s or MBA) • Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark • Developing and refining machine learning models for predictive analytics, classification and regression tasks. Preferred Qualifications • 5+ years’ experience in data-based decision-making or quantitative analysis • Knowledge of ETL pipelines in Spark, Python, HIVE that process transaction and account level data and standardize data fields across various data sources • Generating and visualizing data-based insights in software such as Tableau • Competence in Excel, PowerPoint • Previous exposure to financial services, credit cards or merchant analytics is a plus Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Job title: Data Scientist (Full time) Report to: Data Science Manager in Pune Job Responsibilities Solve Time series 1D (continuous glucose monitoring), RNA sequencing, and Computer vision (mainly medical images) problems Solve challenging problems using scalable 1D signal processing, machine learning, and deep learning approaches. In charge of developing state-of-the-art machine learning/deep learning algorithms for medical datasets Communicate highly technical results and methods concisely and clearly Collaborate with researchers in Japan to understand requirement as well request data. Requirement Bachelor's or higher in computer science or related engineering fields from Tier-1/Tier-2 college 1+ years of experience with programming language/s Python or C++, Pandas 1+ years of experience of working with deep learning framework, i.e. Pytorch or Tensorflow Well acquainted with classical time series problems-algorithms, NLP, Computer vision etc. Demonstrated experience with machine learning/deep learning models. Candidates should be able to read and implement research papers from top conferences. Develop IP (patents) and publish papers. Proficiency in Windows, Linux, dockers, PPT, and Git commands are highly required. Preferred Skills Master/Ph.D. in relevant field from tier-1 colleges Experience working with time-series, text, and sequential datasets in real world settings. Proven track record of research or industry experience on Time series problems, NLP, tabular datasets. Well acquainted with machine learning libraries such as pandas, scikit-learn etc. Experience programming in Azure or GCP or other cloud service. Publications in top-tier conferences will be a plus. Location Pune, India AWIFS office (Co-working space) Elpro City Square Mall, MG Rd, Chinchwad Gaon, Chinchwad, Pimpri-Chinchwad, Pune, Maharashtra 41103

Job Summary: We are looking for a forward-thinking and impact-driven Senior Data Scientist to lead the development of advanced analytics solutions that directly enhance the productivity and profitability of our fund management functions using data science and analytics. Key Responsibilities: AI/ML Development: Design, develop, and deploy machine learning models including LLMs, predictive analytics for the fund management using Python, Scikit-learn, XGBoost, and other frameworks. Data Integration & Visualization: Insight development and automating them using Power BI, integrating data from SQL and AWS. Data warehouse development: Design and develop data warehouse for financial data using AWS services. Experience of Bitbucket, JIRA is added advantage. Required Qualifications: Bachelor’s degree in computer/data science or related field (Master’s preferred). 4+ years of experience in data science, machine learning, and analytics. Strong programming skills in Python, Pyspark, SQL, and AWS analytics services. CFA/CQF/FRM is an added advantage Proficiency in Power BI, Power Platform, and automation tools.

Role: Data Scientist Experience: 3-6 Years4 Location: HYD (WFO) Mandatory Skills: Python, Machine Learning Frameworks(e.g., TensorFlow, PyTorch is a plus), SQL, data visualization tools. JD: Role Overview: We are looking for a skilled Data Scientist with3 –6 years of experience who can turn data into actionable insights using machine learning, statistical analysis, and data modeling techniques. The candidate will work closely with cross-functional teams to solve business problems using data and analytics. This is an onsite role in Hyderabad with working hours from 2:00 PM to 11:00 PM IST. Key Responsibilities: Analyze large datasets to extract insights, build predictive models, and support data-driven decisions. Design and implement machine learning algorithms for classification, regression, clustering, and recommendation systems. Work with structured and unstructured data, performing data cleaning, preprocessing, and feature engineering. Present findings clearly using data visualizations and dashboards (e.g., Power BI, Tableau, or Matplotlib/Seaborn). Collaborate with engineering and product teams to deploy models into production. Continuously improve models based on performance metrics and feedback. Required Skills & Qualifications: 3–6 years of experience in data science, analytics, or applied machine learning. Strong programming skills in Python (pandas, scikit-learn, NumPy, etc.). Experience with machine learning frameworks (e.g., TensorFlow, PyTorch is a plus). Proficient in working with SQL and relational databases. Experience in data visualization tools like Tableau, Power BI, or libraries like Plotly/Matplotlib. Understanding of statistical techniques and hypothesis testing. Experience with cloud platforms (AWS/GCP/Azure) is a plus. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field. Other Details: Work Location: Hyderabad (Onsite only) Working Hours: 2:00 PM – 11:00 PM IST Remote Option: Not available

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: The Data Scientist is responsible for developing and implementing AI-driven solutions to enhance cybersecurity measures within the organization. This role involves leveraging data science techniques to analyze security data, detect threats, and automate security processes. The Data Scientist will work closely with cybersecurity teams to identify data-driven automation opportunities, strengthening the organization’s security posture. Roles & Responsibilities: Develop analytics to address security concerns, enhancements, and capabilities to improve the organization's security posture. Collaborate with Data Engineers to translate security-focused algorithms into effective solutions. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify security patterns and anomalies. Design and implement security-focused analytics pipelines leveraging MLOps practices. Collaborate with data engineers on data quality assessment, data cleansing, and the development of security-related data pipelines. Contribute to data engineering efforts to refine data infrastructure and ensure scalable, efficient security analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Share and discuss findings with team members practicing SAFe Agile delivery model. Functional Skills: Basic Qualifications: Master’s degree and 1 to 3 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR Bachelor’s degree and 3 to 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR Diploma and 7 to 9 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) Preferred Qualifications: Experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets Strong foundation in machine learning algorithms and techniques Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Good-to-Have Skills: Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience with data engineering and pipeline development Experience in analyzing time-series data for forecasting and trend analysis Experience with AWS, Azure, or Google Cloud Experience with Databricks platform for data analytics and MLOps Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications in cybersecurity and data analysis Experience working in Product team's environment Experience working in an Agile environment Professional Certifications: Any AWS Developer certification (preferred) Any Python and ML certification (preferred) Any SAFe Agile certification (preferred) Soft Skills: Initiative to explore alternate technology and approaches to solving problems Skilled in breaking down problems, documenting problem statements, and estimating efforts Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About the job: As a Data Scientist at FestEve, you will dive into the exciting world of event planning and management using cutting-edge technologies. Key responsibilities: 1. Developing and implementing natural language processing algorithms to enhance our event recommendation system. 2. Applying machine learning techniques to analyze event data and provide insights for decision-making. 3. Utilizing artificial intelligence to improve user experience and engagement on our platform. 4. Conducting data analytics to identify trends and patterns in user behavior and event preferences. 5. Leveraging deep learning models to optimize event scheduling and logistics. 6. Collaborating with cross-functional teams to integrate data science solutions into our products. 7. Utilizing Python and SQL to manipulate and analyze large datasets for actionable insights. If you are passionate about data science and have a strong background in NLP, ML, AI, and analytics, come join us at FestEve and make a meaningful impact on the event industry! Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 2,00,000 - 7,00,000 /year Experience: 1 year(s) Deadline: 2025-09-19 23:59:59 Other perks: Informal dress code, 5 days a week, Free snacks & beverages Skills required: Python, SQL, Data Analytics, Machine Learning, Data Science, Natural Language Processing (NLP), Deep Learning and Artificial intelligence About Company: Festeve is the place to go when you want to redefine traditional festival festivities for the modern era. At Festeve, we're passionate about blending innovation with tradition to create events that capture the essence of the current age. Our platform is about appreciating the diverse tapestry of cultural celebrations while incorporating the modern essence that characterizes our lives today, not simply about festivals.

Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. Arista is a well-established and profitable company with over $8 billion in revenue. Arista’s award-winning platforms, ranging in Ethernet speeds up to 800G bits per second, redefine scalability, agility, and resilience. Arista is a founding member of the Ultra Ethernet consortium. We have shipped over 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Arista is committed to open standards, and its products are available worldwide directly and through partners. At Arista, we value the diversity of thought and perspectives each employee brings. We believe fostering an inclusive environment where individuals from various backgrounds and experiences feel welcome is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as the Great Place to Work Survey for Best Engineering Team and Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest quality and performance standards in everything we do. Job Description Who You’ll Work With Arista is excited to scale the WiFi Team in the Pune Development Center to take it’s Cognitive WiFi solution to the next level. Arista has ambitious plans to grow the Pune-based Development Center in the next couple of years and now is a great time to join the team when you can have a significant impact on the shape and direction as the office grows. What You’ll Do Work with the Cognitive WiFi team to research and develop techniques for anomaly detection, root cause analysis and auto remediation. Develop ML models and measure their effectiveness across all of Arista’s customers. Design, develop, and fine-tune Large Language Models (LLMs) for various applications such as natural language understanding, generation, summarization, and question-answering. Work on extracting and analyzing data from a wide variety of Wi-Fi networks. Develop proof of concepts and ship new features in Arista’s CloudVision Wi-Fi solution. Possibly share the findings with a larger community through talks and blog posts. Qualifications Bachelor’s degree in computer science or a related field. Minimum 5 years of experience in Data Science, Machine Learning and AI technologies. Knowledge of Python or R and SQL. Extensive experience with Large Language Models (LLMs), including architecture understanding, fine-tuning, prompt engineering, and deployment Knowledge of Pandas (Python) or Tidyverse (R) libraries. Experience in using Jupyter or RStudio/RMarkdown notebooks. Additional Information Arista stands out as an engineering-centric company. Our leadership, including founders and engineering managers, are all engineers who understand the principles of sound software engineering and the importance of doing things right. We hire globally into our diverse team. At Arista, engineers have complete ownership of their projects. Our management structure is flat and streamlined, and software engineering is led by those who understand it best. We prioritize the development and utilization of test automation tools. Every part of the company is accessible to our engineers, providing opportunities to work across various domains. Arista is headquartered in Santa Clara, California, with development offices in Australia, Canada, India, Ireland, and the US. We consider all our R&D centers equal in stature. Join us to shape the future of networking and be part of a culture that values invention, quality, respect, and fun.

Greetings from Infogain! We are having Immediate requirement for Data Science in Infogain India Pvt ltd. we are looking for overall experience in Data Science and AI/ML, with increasing levels of leadership. Mode of Hiring-Permanent Skills : Machine learning and AI models Exp: 6 to 8 years Location: Noida Notice period- Early joiner Work model- work from office Educational Qualification: BE/BTech/MCA/M.tech Job description Design, build, and deploy scalable machine learning models for business problems (e.g., churn prediction, recommendation systems, fraud detection). Perform exploratory data analysis (EDA), statistical testing, and feature engineering. Collaborate with cross-functional teams (engineering, product, marketing) to integrate models into production. Lead end-to-end data science projects from ideation to deployment. Mentor junior data scientists and analysts. Communicate insights and model outcomes to stakeholders through compelling storytelling and visualizations. Proven track record of delivering impactful data science solutions. Strong understanding of statistical methods, machine learning algorithms, and model evaluation techniques. Excellent communication and stakeholder management skills.

Position Summary About Priorities USA Priorities USA runs effective, large-scale, digital voter mobilization and persuasion campaigns in key battleground states. We invest in cutting-edge research and data. We build training and tools to grow our collective, progressive power. In partnership with movement allies, we employ innovative digital strategies and empower voters. About The Role This Data Scientist will play a key role in developing data science tools that support smart decision making in digital campaigns, both internally and externally. This person will help to build a range of analytics pipelines that will involve statistical, machine learning, and LLM-based methods. This role is ideal for someone with a strong foundation in data science who is excited by innovation — particularly in the use of agentic and AI-driven development—and is eager to apply those skills in service of progressive causes. This person will also support analyses for internal teams, leadership, or partners and should be excellent at communicating technical concepts to a variety of audiences. They will work closely with teams across the organization and report directly to the Director of R&D. This is a remote position. The role includes occasional travel, and working hours are 10AM–6PM ET regardless of location. We are not currently registered to do business in all locations. In particular, we are not currently accepting applicants based in Florida, Hawaii, Missouri, and Texas due to regulatory considerations. Responsibilities Design and implement efficient, modular data science pipelines using modern software engineering practices, with a strong emphasis on agentic and LLM-based tooling. Contribute to the development of models and analytics workflows across a variety of use cases, including audience targeting, social or media listening, and natural language processing. Maintain and continuously improve Priorities USA’s analytics codebases to support scale, reproducibility, and performance. Evaluate model outputs and analytics deliverables to ensure rigor, relevance, and political utility. Participate in code review and collaborative development processes in a cross-functional team. Lead or support research initiatives that define what data is needed to answer strategic questions and how best to analyze it. Think critically about what data is saying to guide applications within a political context. Assess and improve the quality of LLM output, applying human judgment, critique and iterative development to produce trustworthy results. Contribute to the development and maintenance of infrastructure needed for strategic analytics and operational efficiency. Collaborate with the internal surveys team to streamline and improve survey reporting processes. Qualifications 2+ years of experience working with political data. Proficient in SQL, and either Python or R. Demonstrated ability to apply statistical and data science methods in real-world contexts, with a preference for political, advocacy or voter mobilization campaigns. Interest in or experience using AI tools, including LLMs and agentic software frameworks. Experience interacting with databases and cloud computing platforms (e.g. AWS, GCP). Experience coordinating across multiple stakeholders, with strong communication and project management skills. Proven ability to produce clear, timely reports and recommendations in a fast-paced campaign or advocacy setting. Experience working with voter file data for analysis, targeting, or audience development. Preferred Qualifications Familiarity with survey research methods, statistical weighting, and related concepts. Familiarity with prompt engineering, context engineering, and agentic evaluation. Experience with designing and analyzing RCT experiments. Experience working with digital advertising, or media performance data, or an understanding of social listening, and media consumption contexts. Experience developing front-end applications or dashboards. Hands-on experience using Google BigQuery and deploying related Google Cloud Platform (GCP) services (e.g., cloud composer, cloud run, cloud scheduler, cloud storage, google workflows, secrets manager, looker. Compensation And Benefits The budget for this position is $90,000-$110,000 commensurate with experience. Priorities USA’s competitive benefits package includes 100% of health care premium covered for the employee and 75% for dependents, a 401K retirement plan with up to 4% employer match, paid holidays, and flexible PTO. Employees also have access to cybersecurity protection benefits. Equal Opportunity Employer People of color, women, people with disabilities, and veterans are strongly encouraged to apply. If you need an accommodation for a disability to apply to this position, please let us know by emailing peopleops@priorities.org *protected email* . Application Process Information Applications will be accepted until the position is filled. Applications should include a resume and responses to the application questions. The hiring process for selected candidates will consist of a phone screen, take-home assessment (compensated), and a set of final round interviews. Most processes will occur over 3-4 weeks with a target start date in October. This is a cycle based position, ending at the end of 2026.

Proficient with LLMs like GPT, Gemini and Llama Experienced in frameworks such as LangChain or Semantic Kernel Hands-on experience with prompting on LLMs, preferably demonstrated through a project Familiarity with graph models, retrieval-augmented generation (RAG), or semantic search. Familiarity with agentic frameworks, preferably have done some project work with agentic framework Candidate must have solid grasp of ML and DL fundamentals Knowledgeable in state-of-the-art NLP techniques Programming Language: Candidate must have good hands on the any programming language preferably python, C#, Knowledge of Database SQL, NoSQL or cloud ecosystem like Azure Basic working knowledge of visualization API such as Streamlit etc.

Looking for statistical analysis or predictive modelling candidates with skills in Power BI, Alteryx, SQL, Python or Java, Data Analysis, Data modelling, ETL, Data processing. This role requires developing statistical learning models.

As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description As a Technical Lead - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Nice-to-have skills Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred