Data Scientist Graduate Jobs in Pune

About Netra LabsAt Netra Labs, we redefine enterprise AI with our groundbreaking platform, Ground Truth. Our platform transforms expertise into powerful AI agents, enabling businesses to automate complex tasks efficiently. With a user-friendly interface and seamless integration with any language model, Ground Truth empowers system integrators, innovators, and developers to rapidly build and deploy AI solutions. Our commitment to security, scalability, and ROI ensures our clients can trust us with their AI-driven workflows.Role OverviewWe are looking for a highly skilled Python Engineer to lead our backend team and drive the development of scalable, secure, and high-performance AI-powered applications. The ideal candidate will have expertise in data science, a deep understanding of backend development, and hands-on experience with cloud services and DevOps practices. You will work closely with cross-functional teams, ensuring seamless integration between AI models, data pipelines, and enterprise applications.Key Responsibilities Work with the backend development team, ensuring best practices in coding, architecture, and performance optimization. Design, develop, and maintain scalable backend services using Python and FastAPI. Architect and optimize databases, ensuring efficient storage and retrieval of data using MongoDB. Integrate AI models and data science workflows into enterprise applications. Implement and manage AWS cloud services, including Lambda, S3, EC2, and other AWS components. Automate deployment pipelines using Jenkins and CI/CD best practices. Ensure security and reliability, implementing best practices for authentication, authorization, and data privacy. Monitor and troubleshoot system performance, optimizing infrastructure and codebase. Collaborate with data scientists, front-end engineers, and product team to build AI-driven solutions. Stay up to date with the latest technologies in AI, backend development, and cloud computing.Required Skills & Qualifications 3+ years of experience in backend development with Python. Strong experience in FastAPI or other modern Python web frameworks. Proficiency in MongoDB or other NoSQL databases. Hands-on experience with AWS services (Lambda, S3, EC2, etc.). Experience with GitHub Actions and CI/CD pipelines. Data Science knowledge with experience integrating AI models and data pipelines. Strong understanding of RESTful API design, microservices, and event-driven architecture. Experience in performance tuning, caching, and security best practices. Proficiency in working with Docker and containerized applications. Excellent problem-solving skills and ability to lead a team. Strong communication skills to interact with stakeholders and cross-functional teams.Preferred Qualifications Experience with Machine Learning frameworks such as TensorFlow or PyTorch. Knowledge of GraphQL, WebSockets, or gRPC. Familiarity with Terraform or Kubernetes for infrastructure as code. Experience with big data processing frameworks such as Apache Spark.

Job Responsibilities:Write effective, high-quality Python code to solve problemsClearly explain the reasoning behind the code in Jupyter notebooksDebug code and produce thorough documentationUsing free datasets (such as Kaggle, the UN, the US government, etc.), use your data analytic skills to formulate and respond to important business issuesEffectively communicate with researchers to comprehend their needs and share their findingsJob Requirements:Bachelors/Masters degree in Engineering, Computer Science (or equivalent experience)At least 4+ years of relevant experience as a data scientist2+ years of experience working with Python programming languages and Data ScienceDemonstrable experience with Data AnalysisSome familiarity with SQL is nice to haveExcellent critical thinking and problem-solving abilitiesStrong business sense combined with data analytic abilities to identify the key questions to ask from the dataset, provide clear answers, and explain the key findingsOutstanding communication abilities to work with researchers and stakeholders in an efficient mannerFluent in spoken and written English communication

Responsibilities:Training working professionals on in-demand skills like Data analytics concepts, Machine Learning, Artificial intelligence, etc.Delivering highly interactive lectures on online/offline platformMinimum requirement:Should have minimum of 2+ years of technical training experienceShould ideally be conversant with Machine Learning, Data analytics concepts, Data engineering, Hadoop, Kafka, MongoDB, PowerBI, Deep Learning, etc.Strong communication skills and the ability to deliver highly interactive lectures are a must

We are looking for 24 Fresher Data Analyst / Data Science / Python / IT INDUSTRIES Posts in Mumbai, Maharashtra,Bangalore, Karnataka,Kolkata, West Bengal,Jaipur, Rajasthan,Hyderabad, Telangana,Ahmedabad, Gujarat,Pune, Maharashtra,Chandigarh,Patna, Bihar,Ranchi, Jharkhand,Data Analyst,Data Scientist,Python Developer,Microsoft Excel,SQL Data Base Administrator, with deep knowledge in Data Analyst,Data Scientist,Python Developer,Microsoft Excel,SQL Data Base Administrator and Required Educational Qualification is : Higher Secondary, Secondary School, Diploma, Professional Degree, Other Bachelor Degree, B.A, B.C.A, B.Com Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary..

At ViON, we provide innovative solutions to complex problems todeliver a unique experience for our customers. We are committed toour customers' success, because when they win, we win. This is whatdrives every person that works at ViON to be the best they can andin turn, makes coming to work fun, exciting and rewarding. Weknow our employees give us their best, and we give them ours. Thisis why we have a leading compensation and benefits package thatfar exceeds industry standards. We are committed to delivering ourvery best to our customers and our employees.Roles and Responsibilities Include: Data mining or extracting usable data from valuable datasources Using machine learning tools to select features, create andoptimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevantinformation for developing analytic systems Processing, cleansing, and validating the integrity of data to beused for analysis A tableau will include developing technological solutions,establishing data storage tools, and running tests. You should

Requirements:Knowledge of Data Mining and Machine Learning.Proficient in statistical design of experiments (factorial, response surface modeling, Plackett-Burman, central composite designs, Box-Behnken, etc.) High analytical and problem solving skills. Degree from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.Coding proficiency required in at least one data science language (Python, R, Scala, and SQL), as well as expertise with modern ML packages and libraries (SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools). Knowledge of the business and the sector in which he/she is going to work.Degree in Masters of Science in Computer Science, Math or Scientific Computing preferred

Duties and Responsibilities: Serve as the technical leader on all data management aspects for project(s) including start-up, maintenance, and completion activities and develop Data Management Plans that will deliver accurate, timely, consistent, and quality clinical trial data. Independently perform all activities related to data management per regulations and applicable standard operating procedures (SOPs). Primary contact person for day to day data management activities, and is the person ultimately responsible for all data management deliverables for assigned projects. Primary contact person for communication and discussion of topics related to data management timelines and deliverables, request for out of scope tasks, and first line contact for technical or procedural issues. Responsible for planning and implementing data management timelines and deliverables, for providing database and data management activities status reports, and contributes to the overall project planning, progress tracking and reporting. Design and review electronic Case Report Forms (eCRFs). Develop and review eCRF Completion Instructions. Generate and review annotated eCRFs. Develop and maintain data validation specifications. Fully involved in the clinical study database User Acceptance Testing (UAT), and ensure proper documentation thereof. Manage the process of database modifications (after go-live) due to protocol amendments or study needs. Regularly communicate and/or respond to data collection sites, third party service providers, and when appropriate sponsors; responding to queries in a timely manner,Qualifications: A minimum of 5 years of clinical data management related experience in either a CRO, pharmaceutical, biotech, or device company. In-depth understanding of database structures and database programming. In depth knowledge of CDISC SDTM/CDASH standards. In-depth knowledge of clinical trial processes and experience in ICH, GCP, and GCDMP (SCDM

Responsibilities In-depth data analysis: Extract data to manipulate/calculate/format/combine intopresentable reports, charts, and graphs. Analyze and interpret data to find outliers, understand root cause, business impact, correlations/discrepancies, and proposechanges/alternate solutions.Discover patterns/root causes, and generate insights to drive product enhancements.Bring together disparate data sources to create a complete analysis.Analyze and evaluate the quality of data used for model training and testingCreate and present proposals and results in an intuitive, data-backed manner, alongwith actionable insights and recommendations to drive business decisions.Collaborate with other data scientists and engineers on data collection and featuredesign efforts across teams.Communicate results to diverse audiences through effective writing and datavisualizations (BI reports and Dashboards).Desired Skills Solid experience with Natural Language Processing (NLP).Text Extraction from various sources (MS Word, plain text files, pdf files,html pages, etc.), Text Cleaning, Text Pre-Processing, Tokenization, POStagging,NER,DependencyParsing,CoreferenceResolution,FeatureVectorGeneration (binary, count, tf-idf, etc.), word2vec, doc2vec, glove, RAKE,document similarity (Cosine, Jaccard, etc.),fuzzy text matching, LexicalandSemantic Information ExtractionUnderstanding of various NL constructs like Parts of Speech, Sentencestructures, Subject Verb Object relationships, word dependencies(ROOT, compound, etc.)Strong expertise in Python.Expert-level skills with packages like NLTK, spaCy, genism, Pattern,TextBlob,Vocabulary,StanfordCoreNLPPythonwrappers.Textextractiontools like PDFMiner, Apache Tika with Python, PyPDF2, etc. pandas,sklearn, numpy, xgboost, matplotlib, keras, etc.Expertise in Command Line usage (e.g., Bash), and SQLRobust knowledge of statistical modelling and machine learning techniquesTechniques: text clustering (k-means,

Job description:* Must have experience on programming languages like MATLAB, Python, SQL, Oracle, R* Strong experience working with Simulink and Simscape* Strong mathematical skills to help collect, measure, organize and analyze data* Technical proficiency regarding database design development, data models, Techniques of data mining, and segmentation.* Experience in handling reporting packages like Business Objects, programming (JavaScript, XML, or ETL frameworks), databases* Adept at using data processing platforms like Hadoop and Apache Spark* Knowledge of data visualization software like Tableau, Qlik* Good Knowledge of Version Control Systems like Git, Jira, Bitbucket.* Good communication skills and ability to learn new thingsInterested Candidates can send your Cv

Adhering to university time line (other the new courses) To ensure coverage of Syllabus as per university standards Learning OutcomeExamination Result (Includes both Internal & Main Exams) Knowledge Improvement ProgramInnovation & Development

Basic Qualifications5+ years of experience as a Data Engineer or in a similar role3+ years of industry experience in software development, data engineering, business intelligence, data science, or related field3+ years of experience in SQL & PythonBachelor's degree in computer science, engineering, mathematics, or a related technical disciplineExperience with data modelling, data warehousing, and building ETL pipelinesProven track record of solving complex business problem with high quality & automated testing in agile environment.Experience using one of the big data technologies (Spark, EMR, Dbt cloud etc)Excellent communication & analytics skillsPreferred QualificationsExperience working with AWS big data technologies (EMR, Redshift, S3, Lambda, RDS)Experience working with SnowflakeDemonstrated strength in data modeling, ETL development, and data warehousingExcellent understanding of any other programming languages like Java or JavaScriptExperience working with one of big data schedulers like Airflow, Oozie, Azkaban etc.Experience in data streaming with Kafka, Spark Streaming and KinesisBasic knowledge on Containerization and Orchestration like Docker, KubernetesUnderstanding of python data libraries like NumPy, Scikit-Learn etc.Open to learn new technologies & AI libraries

What we expect? Excellent knowledge of Statistics, especially distributions, likelihood estimators, etc. Hands on experience with one of these programming languages: Python / R Extensive knowledge of Machine Learning concepts and techniques, along with knowledge of various algorithms and their use cases Experience in using Business Intelligence (BI) tools like Tableau (or equivalent) Hands on experience in using SQL programming with Microsoft SQL Server / MySQL Familiarity in using Big Data / Hadoop (or equivalent) Familiarity with a wide variety of data sources, including public or private APIs and standard data formats, like JSON, YAML and XML Ability to design and implement Validation Tests, Hypotheses with supporting documentation Excellent documentation skills, including advanced use of Microsoft Excel, Word, and PowerPoint Ability to work independently with minimum input or assistance Ability to effectively communicate with all levels of audience business and technical Good in spoken and written English languageResponsibilities Gather and analyze data, using various types of analytics and reporting tools to detect patterns, trends, and relationships in data sets Establish best practices for collecting data using analysis tools, and interpreting data Process, cleanse, and verify the integrity of data used for analysis Perform ad-hoc analysis and present results in a clear manner using appropriate medium Process / mine huge volumes of structured, semi-structured and unstructured data using state-of-the-art methods to derive meaningful insights in an appropriate format Recommend tools, techniques, and practices across organization to enhance knowledge Create complex predictive models using ML techniques and relevant tools

Roles and ResponsibilitiesJob DescriptionContribute to all phases of the development life-cycle of the students and train a dynamic team of students.Should possess strong knowledge of Python and Machine learning along with a passion for Artificial Intelligence.Faculty who are Excellent in any of the programming languages.Faculty who are ready to upgrade are the idle candidates.Should stay up-to-date with the latest development in the field.Facilitating the student's available resources such as curriculum, data, hardware, etc.Upgrading the students knowledge quality by taking them through the important functionalities of Python and Machine Learning as per the syllabus.Sharply train the students minds in analyzing the Machine Learning Algorithms that could be used to solve the given problems.Train and guide the students to analyze the errors and design strategies to overcome them.Lead learning enhancement through developing assignment and assessment modules, integrate the use of advanced technology for upscale training quality, and develop plans to track and monitor the progress of students.Should be capable of completing the assigned module in the given time.Conduct regular research for further enhancement of curriculum on a regular basis.Should be able to communicate and connect with students in an effective way.Should be committed to delivering best-in-class training and a willingness to enrich careers

We are looking for 14 Fresher Data Analyst / Data Science / Python / IT INDUSTRY Posts in Bangalore, Karnataka,Hyderabad, Telangana,Ahmedabad, Gujarat,Chennai, Tamil Nadu,Patna, Bihar,Pune, Maharashtra,Visakhapatnam, Andhra Pradesh,Surat, Gujarat,Nagpur, Maharashtra,Data Analyst,Data Scientist,Python Developer,SQL Data Base Administrator, with deep knowledge in Data Analyst,Data Scientist,Python Developer,SQL Data Base Administrator and Required Educational Qualification is : Higher Secondary, Secondary School, Diploma, Advanced/Higher Diploma, Professional Degree, Other Bachelor Degree, B.C.A Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary

Hiring for 11 Data Analyst And Data Engineer Fresher Jobs in Madurai, Tamil Nadu,Mysore, Karnataka,Hubli, Karnataka,Dharwad, Karnataka,Dhanbad, Jharkhand,Raipur, Chhattisgarh,Navi Mumbai, Maharashtra,Nashik Pune Road, Maharashtra,Aurangabad Road, Patna, Bihar,Data Analyst,Data Scientist,Data Specialist,SQL Data Base Administrator, for Freshers,Required Educational Qualification is : Secondary School, Diploma, Professional Degree, Other Bachelor Degree, B.Arch, B.C.A, B.B.A, B.Com, BDS with Good knowledge in Data Analyst,Data Scientist,Data Specialist,SQL Data Base Administrator etc.Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary...