We are hiring for Machine Learning - Data ScientistNotice Period - Immediate to 30 days onlyLocation: All India BSL LocationYear of experience: 4 to 8Responsibilities <ul><li>4 years of relevant work experience as a data scientist</li><li>Experience designing and building statistical forecasting models.</li><li>Experience designing and building machine learning models.</li><li>Experience designing and building optimization models, including expertise with statistical data analysis</li><li>Minimum 6 years of experience in Python, R and data wrangling skills</li><li>Experience in Natural Language API, Azure ML</li><li>Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.</li><li>Demonstrated skills in selecting the right statistical tools given a data analysis problem.</li><li>Effective written and verbal communication skills.</li></ul> Required Skills Skillset: Python, R, Data wrangling, Natural Language API

We are expanding our data team and searching for a candidate who is a passionate enthusiast for the use of AI in real-world business applications. Before continuing, ask yourself these two questions. 1.) Do you have a minimum B-Tech/ BE in Information Technology or Computer science or related Data Science degree?2.) Can you join within seven days? IMPORTANT If you answered YES to all 2 of those questions, then you're perfect for our team! Then please apply with confidence. Experience Required- 1 to 3 YearsNo, of roles: 2We use proprietary filters to filter resumes and profiles. So, a professionally written summary will have a better chance. Job Description: <ul><li>Gather and translate business requirements into functional specs focusing on the adoption of artificial intelligence concepts/technology</li><li>Thorough understanding of data models</li><li>Experience working on at least one project focused on Artificial Intelligence, Machine Learning, and Predictive Modeling.</li><li>Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++ is an asset.</li><li>Good knowledge with business intelligence tools (e.g., Power BI, Quick Sight)</li><li>Strong mathematics skills (e.g., statistics, algebra)</li><li>Requirement gathering, preparing data flows, and mapping information</li><li>Excellent verbal and written communication skills are a MUST.</li><li>Comprehensive knowledge of the Software Development Life Cycle (SDLC), having a thorough understanding of various phases of Requirements, Analysis/Design, Development, and Testing.</li></ul> Knowledge, Skills & Abilities:<ul><li>Proven experience as a Data Scientist </li><li>Understanding of machine learning and operations research</li><li>Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++ is an asset.</li><li>Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)</li><li>Knowledge of Azure or AWS AI services and the NLP platform will be a big plus.</li><li>Analytical mind and business acumen</li><li>Strong math skills (e.g., statistics, algebra)</li><li>Problem-solving aptitude</li><li>Excellent communication and presentation skills</li><li>BSc/BA in Computer Science, Engineering, or relevant field; graduate degree in Data Science or another quantitative field is preferred</li></ul>

Job Title: Data ScientistLocation: Noida, IndiaIndustry: ITJob Summary:We are seeking a highly skilled Data Scientist to join our IT team and contribute to our data-driven decision-making processes. The ideal candidate will have a strong background in statistical modeling, machine learning, and data analytics, enabling them to interpret complex data and derive actionable insights that drive business outcomes.Key Responsibilities:<ul><li>Data Analysis and Insights: Analyze large, complex datasets to identify patterns, trends, and actionable insights that align with business goals.</li><li>Model Development: Design, build, and deploy predictive models and machine learning algorithms to solve business problems and enhance decision-making.</li><li>Data Visualization: Create compelling data visualizations and dashboards to present findings and communicate insights to stakeholders.</li><li>Collaboration with Cross-Functional Teams: Work closely with product, engineering, and business teams to define data needs, deliver insights, and drive data-driven strategies.</li><li>Data Cleaning and Preparation: Process, cleanse, and verify the integrity of data used for analysis to ensure quality results.</li><li>Experimentation and Hypothesis Testing: Design and conduct experiments to test hypotheses and analyze the impact of different business initiatives.</li><li>Continuous Improvement: Stay updated with the latest industry trends, tools, and technologies in data science, machine learning, and artificial intelligence to enhance analytical capabilities.</li></ul>Requirements:<ul><li>Experience: 3+ years of experience in data science or analytics, preferably in the IT sector.</li><li>Education: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.</li><li>Technical Skills: Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow). Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Analytical Skills: Strong statistical analysis and mathematical modeling skills, with a deep understanding of various machine learning algorithms and techniques.</li><li>Problem-Solving Abilities: Excellent critical thinking skills with a proactive approach to problem-solving and the ability to work with large datasets.</li><li>Communication: Strong verbal and written communication skills to effectively share insights and collaborate with technical and non-technical teams.</li></ul>Preferred Qualifications:<ul><li>Experience with big data platforms (e.g., Hadoop, Spark).</li><li>Knowledge of deep learning frameworks.</li><li>Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.</li></ul>Personal Attributes:<ul><li>Detail-oriented and quality-driven</li><li>Ability to work in a fast-paced, dynamic environment</li><li>Proactive and self-motivated with a strong commitment to learning</li></ul>

About UsH&P(Helmerich & Payne) acquired MagVar and Motive Drilling which have become the centrepiece of H&P Technologies. We drive the development of advanced technologies and directional drilling automation solutions to help customers achieve greater reliability and well performance. We are focused on leading-edge technology pushing the limits of the oil & gas industry. Our Value-Driven Automation platform offer customers an unrivalled opportunity to drill longer laterals, increase well placement accuracy and maximize yield. We have software teams in Denver, Dallas and India. Helmerich & Payne, Inc. has been the industry's most trusted partner in U.S. land, international and offshore drilling productivity and reliability since 1920. Our company currently owns and operates land rigs across North America, South America, Australia, the Middle East and Africa, with offshore rigs in the Gulf of Mexico. Role: Data ScientistJob Location: Noida, IndiaWork Model: Traditional Summary:We are looking for a Data Scientist to analyze raw information, find patterns and builddata products which will assist in business decision making. In this role, you should be highlyanalytical with an inclination towards math and statistics. Critical thinking and problem-solvingskills are essential for interpreting data. We also want to see a passion for software developmentand machine-learning. Responsibilities: <ul><li>Identify valuable data sources and automate collection processes.</li><li>Perform pre-processing of structured and unstructured data.</li><li>Analyse pre-processed data to identify trends and patterns.</li><li>Build predictive models and machine learning algorithms.</li><li>Combine models through ensemble modelling.</li><li>Present information using data visualization techniques.</li><li>Propose solution and strategies to business challenges.</li><li>Collaborate with various engineering, marketing, supply-chain teams.</li></ul> Role requirements, Skills & Experience:<ul><li>Proven experience (minimum 1 year) as a Data Scientist or Data Analyst, with experience in data mining.</li><li>Strong math skills (e.g., Statistics, Linear Algebra, Calculus)</li><li>Analytical mind and business acumen. Strong problem-solving aptitude.</li><li>Sound knowledge and software development experience in Python, SQL.</li><li>Familiarity with R, Java or C++ would be an added advantage.</li><li>Experience in using advanced machine learning algorithms and models.</li><li>Modelling skills - Use adequate modelling techniques to produce relevant models.</li><li>Evaluation skills - Assess quality and robustness of models to meet business objectives.</li><li>Deployment skills - Deploy models and share results with stakeholders.</li><li>Good communication and presentation skills.</li><li>Understanding of cloud computing and data privacy concepts.</li><li>Bachelor’s degree / Master’s degree in one of the following courses: Engineering (all branches), Statistics or Mathematics.</li></ul> Attributes:<ul><li>Ethical, self-motivated individual with the ability to set and achieve goals</li><li>Demonstrates a workplace culture that is committed to the H&P Way</li></ul>o Actively C.A.R.Eo Service Attitudeo Innovative Spirito Teamworko Do the Right Thing

Job Opportunity with HCL Tech- Looking only for Immediate joiner for Data Scientist role _Noida location. Interested candidate kindly email your updated resume with subject line "Data Scientist_Nodia_" to sagardo@hcltech.com Data Scientist Job Description:- Relevant Exp Range: 5+ years and above As a Data Scientist, you will be responsible for utilizing your analytical and technical skills to extract valuable insights from complex datasets, contributing to data-driven decision-making and enhancing our business strategies. Your role will involve designing and implementing statistical models, machine learning algorithms, and data mining techniques to solve challenging problems. You will collaborate with cross-functional teams to identify opportunities for data-driven improvements and present findings to both technical and non-technical stakeholders. Responsibilities: - <ul><li>Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables</li><li>Collaborate with domain experts, engineers, and stakeholders to understand business requirements and translate them into analytical solutions</li><li>Communicate complex findings and insights to both technical and non-technical audiences through clear visualizations, presentations, and reports</li><li>Clean, preprocess, and transform data to ensure its quality and suitability for analysis</li><li>Perform data and error analysis to improve models using Python and R</li><li>Conduct exploratory data analysis to identify patterns, trends, and anomalies, and translate them into actionable recommendations with clear objectives in mind</li><li>Continuously evaluate model performance and make improvements based on real-world outcomes</li></ul>Required skills and qualifications: - <ul><li>Bachelor's/Master's/Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics, or a related field</li><li>5+ years prior experience in a data science role or related field is preferred</li><li>Proficiency in programming languages such as Python or R for data analysis and modeling</li><li>Proficiency with data mining, mathematics, and statistical analysis using Python and R</li><li>Strong understanding of machine learning techniques, algorithms, and their applications</li><li>Advanced experience in pattern recognition and predictive modeling</li><li>Experience with Excel, PowerPoint, Tableau, SQL</li><li>Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus</li><li>Great problem-solving skills and the ability to translate business questions into data science tasks</li><li>Strong communication skills to collaborate with cross-functional teams and present findings to diverse audiences</li></ul>

Job description-About the Role: This is a rare opportunity to join a fast-growing team, where you will play a major role in shaping Biz2Credit's future. We're looking for an exceptional candidate that is excited about the opportunity to build a next-generation financial services business. We believe that there is a tremendous opportunity to leverage cutting-edge data science to inform smarter, faster decision making.As a Biz2Credit Data Scientist, you will shape the company's data-centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Risk Officer on developing, validating, and automating our customer conversion and underwriting models. While a background in financial services is not required, you must be passionate about tackling complex data challenges for the benefit of small and medium businesses everywhere.YOU WILL:<ul><li>Drive the ongoing advancement and refinement of Biz2Credit's credit decisioning & pricing model - optimizing risk and return while dramatically reducing decision cycle times.</li><li>Continuously evaluate alternative data sources and structures to document and improve the efficacy of our customer conversion models and processes.</li><li>Harness the power of Biz2Credit's technology to proactively identify emerging risks as well as opportunities with our customers.</li><li>Play a key role in the design and implementation of ongoing operational and risk reporting and analytics.</li><li>Work on data projects and proposals involving Biz2Credit's financial services partners worldwide (banks, non-banks, debt investors, equity investors and others) to analyse, classify and visualize credit-related data</li><li>Perform ad hoc analyses on customer, business, and portfolio trends to generate actionable insights for internal and external stakeholders</li><li>Manage multiple projects and priorities while delivering accurate & timely results in a fast-paced environment</li></ul> Requirements<ul><li>Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields from leading university; Advanced degree preferred</li><li>0-2 years' experience performing quantitative analysis within self-directed roles</li><li>Practical hands-on experience in the development and implementation of new predictive models and comfortable in learning new statistical tools and techniques</li><li>Ability to visualize and communicate sophisticated data and models to all audiences</li><li>Specifically demonstrated experience, knowledge, accuracy, and speed of execution in PowerPoint, Excel, and Python (knowledge of other programming knowledge and BI tools, such as Tableau & Power BI, is a plus) </li><li>Highly motivated, versatile, capable of working independently with demonstrated initiative</li></ul>Strong oral and written communication skills

The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Staff Data Scientist who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. Responsibilities <ul><li>Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients</li><li>Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. </li><li>Define technical architecture to productize Innovaccer’s machine-learning algorithms and take them to market with partnerships with different organizations</li><li>Proven ability to break down complex business problems into machine learning problems and design solution workflows.</li><li>Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. </li><li>Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle.</li><li>Define and execute on the quarterly roadmap </li></ul> Qualifications <ul><li>Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred)</li><li>7+ years of experience in Data Science (healthcare experience will be a plus)</li><li>Strong written and spoken communication skills</li><li>Strong hands-on experience in Python - building enterprise applications alongwith optimization techniques. </li><li>Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - knowledge of implementing agentic workflows is a plus.</li><li>Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow.</li><li>Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry. </li><li>Deep understanding of classical ML techniques - Random Forests, SVM, Boosting, Bagging - and building training and evaluation pipelines. </li><li>Demonstrate experience with global and local model explainability using LIME, SHAP and associated techniques.</li><li>Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s</li><li>Experience in developing and deploying production ready models</li><li>Knowledge of implementing an MLOps framework.</li><li>Possess a customer-focused attitude through conversations and documentation</li></ul>

Greetings from Live Connections !! ???? ???? Live Connections Placements Pvt. Ltd. or LiveC as we are popularly known as, is a 26+ year-old search and recruitment organization that specializes in finding and placing professionals across several sectors around the globe. We bring to the table a cumulative recruitment experience built over two decades.Follow for more https://in.linkedin.com/company/live-connections About Client:We are hiring for a leading health services and innovation company focuses on enhancing healthcare delivery and improving patient outcomes through the integration of technology, data analytics, and clinical expertise. This organization offers a comprehensive suite of services, including pharmacy care, healthcare operations, and consulting, to help clients navigate the complexities of the healthcare system. ???? Employment: Full-time???? Title : Lead Data Scientist???? Work Location: Noida✨ Experience: 8-12 years???? Mode: Hybrid⏲Shift timings: 3.30 PM to 1 AM (Night shifts)⏳Notice Period: Immediate to 30 days Joiners ONLY ???????????????????????????????????? ???????????????? ????????????????????????:• 8-12 years in Data Science field• Proven exceptional hands-on modelling skills using Python• 8+ years of experience in SQL & HQL• 5+ years of experience in BI Tools Power BI• Must be comfortable for 3.30 PM - 1 AM shift timings. Aᴘᴘʟʏ ɴᴏᴡ ᴏʀ ᴛᴀɢ sᴏᴍᴇᴏɴᴇ ᴡʜᴏ'ᴅ ʙᴇ ᴀɴ ɪᴅᴇᴀʟ ꜰɪᴛ ! For More Details DM me : https://wa.me/919985831110 ????share your Latest CV to mailto:prashanth@livecjobs.com ✉ Do share references and Please share our contact with friends/colleagues who are looking out for a change, maybe we can help them in finding one. Wish you All the Best !! ????

Data Scientist Jobs in Noida, Uttar Pradesh

Data Scientist
November 18, 2024

Data Scientist
November 17, 2024

Data Scientist
November 15, 2024

Data Scientist
November 15, 2024

Data Scientist
November 13, 2024

Data Scientist
November 10, 2024

Staff Data Scientist
November 6, 2024

Lead Data Scientist
October 24, 2024

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Data Scientist Jobs in Noida, Uttar Pradesh

Data ScientistNovember 18, 2024

Data ScientistNovember 17, 2024

Data ScientistNovember 15, 2024

Data ScientistNovember 15, 2024

Data ScientistNovember 13, 2024

Data ScientistNovember 10, 2024

Staff Data ScientistNovember 6, 2024

Lead Data ScientistOctober 24, 2024

Quick filters

Top companies

Data Scientist
November 18, 2024

Data Scientist
November 17, 2024

Data Scientist
November 15, 2024

Data Scientist
November 15, 2024

Data Scientist
November 13, 2024

Data Scientist
November 10, 2024

Staff Data Scientist
November 6, 2024

Lead Data Scientist
October 24, 2024