Analytics Insight®’s Post

!!Alert Hiring!!         One of our Clients is hiring for Data Scientist. Interested Candidate can share their resume via email or WhatsApp             WhatsApp @ 9445911058 Email: pavithran.s@ramsol.onmicrosoft.com                                                #job #career #hiring #jobsearch #jobopening #nowhiring #chennaijobs #chennaijobseekers #datascientist #dataanalysis #aiml #modelling #datawrangling #etl #genai #dataengineer #mlops #teamhandling

Hi everyone, we’re on the lookout for a highly skilled Data Scientist to join our team. Location: Bangalore  Experience: 10 years Knowledge, Skills and Abilities Mandatory: Proven ability to deliver a data science project end-to-end including planning, data exploration, data processing, model development, evaluation, model deployment to production, and project presentation to stakeholders. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering / random forest (desirable) and deep understanding of models eg. SVM, MRA, XGB Expertise in designing and implementing MLOps pipelines on cloud solutions. Expertise using popular MLOps Frameworks e.g. ML Ops using data bricks. Databricks – experience in development of notebooks using SQL, Python SQL Server (either on-prem or Azure SQL) and experience developing very complex stored procedures Proficient in Data analytics tools eg. Power BI, Tableau Experience with Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality. Experience with Data science models testing validation and tests automation. Awareness of continuous integration and delivery concepts/technologies. Drop a comment or send me a message with your resume. Know someone who'd be a great fit? Tag them or share this post with your network! #hiring #datascientist #MI #machinelearning #MLOps #SQL #predictivemodelling

!!Hiring Alert!!   Hiring for Data Scientist role.                       One of our Clients is hiring for Senior Data Scientist Interested Candidate can share their resume via email or WhatsApp             WhatsApp @ 9445911058 Email-kavitha.es@ramsol.onmicrosoft.com           #job #career #hiring #jobsearch #jobopening #nowhiring #chennaijobs #chennaijobseekers #data #datascientist #statistics #machinelearning #ml #algorithm #puthon #pytorch #r #tensorflow #bigdata 

🌟 Exciting News! Open to New Opportunities in Data Science 🌟 As a passionate Data Scientist with over 4 years of experience in data extraction, modeling, and visualization, I'm excited to announce that I’m actively seeking new challenges and opportunities where I can leverage my expertise in cutting-edge machine learning techniques, cloud-based data solutions, and predictive analytics. From developing models that improve forecasting accuracy by 15% to automating data pipelines that reduced deployment time by 60%, I've had the privilege of working with some fantastic teams at Principal Financial and Hexaware Technologies. Now, I’m ready to bring that same energy and dedication to a new role! 🔑 Here’s a snapshot of what I bring to the table: • Proficient in Python, R, SQL, SAS, and TensorFlow for building advanced machine learning models. • Expertise in Regression Analysis, Decision Trees, Neural Networks, NLP, and Deep Learning. • Skilled in creating dynamic visualizations using Tableau, Power BI, and Excel. • Experience in deploying scalable solutions on AWS, GCP, and Azure. • A strong focus on delivering impactful business results in both financial and retail sectors. If you or someone in your network is looking for a data-driven professional who thrives on solving complex problems, feel free to connect with me or reach out at harshika.p@worksemails.com. Looking forward to the next big challenge! 🚀 #DataScience #MachineLearning #DataVisualization #PredictiveAnalytics #NewOpportunities #Hiring #OpenToWork #NLP #DeepLearning

Top Companies Hiring Data Scientists in June 2024 https://acesse.dev/O4scf Top Companies Hiring Data Scientists in June 2024: Data science is one of the top technologies that are making huge strides in global industries. A career in data science is lucrative and rewarding. #TopCompaniesHiringDataScientists #Infosys #Swiggy #Datascientist #Mastercard #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

#DiversityHiring for a #DataScientist Role at #Bhuvaneswar Exp 4 + years Key Responsibilities: 1. Data Collection and Cleaning: Gather and process data from various sources, ensuring data quality and consistency. 2. Data Exploration: Explore and visualize data to understand patterns, trends, and anomalies. 3. Statistical Analysis: Apply statistical methods to extract meaningful insights from data, such as hypothesis testing, regression analysis, and clustering. 4. Machine Learning: Develop and implement machine learning models for predictive and prescriptive analytics. This includes feature engineering, model selection, and evaluation. 5. Data Mining: Discover hidden patterns and knowledge within data using techniques like association rule mining and anomaly detection. 6. Data Visualization: Create clear and informative data visualizations to communicate findings effectively to non-technical stakeholders. 7. Model Deployment: Deploy machine learning models into production environments and monitor their performance. 8. A/B Testing: Design and analyze A/B tests to evaluate the impact of changes or interventions. 9. Domain Knowledge: Expertise in the healthcare domain and understand the context and nuances of the data. Knowledge on clinical decision support, healthcare process optimization, disease surveillance, drug discovery and development, patient outcome improvements and brand performance. 10. Collaboration: Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to solve complex problems and drive data-driven decision-making. Skills and Qualifications: Data Analysis: Proficiency in data manipulation and analysis tools such as Python, R, or SQL. Machine Learning: Strong knowledge of machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Statistics: Solid understanding of statistical concepts and their application. Data Visualization: Proficiency in data visualization libraries (e.g., Matplotlib, Seaborn, D3.js) and tools (e.g., Apache Superset, Power BI). Big Data Tools: Familiarity with big data technologies like Hadoop and Spark is a plus. Programming: Ability to write code for data analysis and modeling in cloud environment Database Knowledge: Understanding of relational databases and NoSQL databases. Domain Expertise: Understanding of healthcare systems, medical terminology, and clinical processes is essential. Communication: Strong communication skills to convey complex findings to non-technical stakeholders. Problem Solving: Analytical and critical thinking skills to approach and solve complex business problems. Interdisciplinary Collaboration: Collaborate with healthcare providers, clinicians, data engineers, and researchers to address healthcare challenges and drive data-driven solutions DM profiles or share to magnethrconsultingservices@gmail.com

Top Data Science Jobs to Apply on Oct 18, 2024 https://zurl.co/h6AQ Explore the top 10 data science jobs to apply for on October 18, 2024. With competitive salaries and opportunities at tech giants like Google, Tesla, and Microsoft, these roles offer excellent career prospects for data professionals. #Datasciencejobs #DataScience #MachineLearning #ArtificialIntelligence #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

Hi Folks, Greetings from USM Business Systems! We are hiring for Data Scientist for Permanent Role interested candidates please share resume on suribabuk@usmsystems.com Job Descriptions Role : Data Scientist Work Location : Bangalore Mode of Work : Permanent(Hybrid) Basic Qualifications: Proficiency in programming languages such as Python, SQL, R etc. Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 4-6 years of academic and relevant industry experience. Proven experience as a Data Scientist with a strong portfolio of data science projects. Experience in a specific industry (e.g., Edtech, finance,retail) is advantageous. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn). Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, D3.js). Hands-on experience with Databricks for big data processing and analytics. Proficiency with the Elastic Stack (Elasticsearch & Kibana) for search and data analysis is a plus. Analytical Skills: Strong ability to analyze complex data sets, identify trends, and draw actionable conclusions. Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders. Problem-Solving: Demonstrated ability to tackle complex problems and develop innovative solutions. Preferred Qualifications: Bachelor's, Master's or PhD degree in CS, Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least 3 years of working experience as a Data Scientist. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of advanced machine learning techniques (e.g., deep learning, natural language processing). Familiarity with business intelligence tools and methodologies. Key Responsibilities: Data Analysis: Collect, clean, and preprocess large datasets from various sources. Perform exploratory data analysis to uncover patterns and insights. Statistical Modeling: Develop and implement statistical models and algorithms to address business problems. Validate models and perform performance evaluations. Machine Learning: Design, train, and deploy machine learning models to predict outcomes and automate processes. Continuously improve model accuracy and efficiency. Collaboration: Work with data engineers, analysts, and other team members to understand business requirements and provide data-driven solutions. Continuous Learning: Stay updated with the latest industry trends, technologies, and best practices in data science and machine learning. Regards, Surya K Talent Acquisition

Hi LinkedIn Network, I am actively seeking opportunities in Data Engineering and Data Science, where I can leverage my 3+ years of experience in designing scalable data pipelines, implementing cloud-based solutions, and driving impactful analytics. What I Bring to the Table: Expertise in ETL development, data integration, and real-time analytics using tools like Talend, Snowflake, Databricks, and Power BI. Proficiency in Python, SQL, and cloud technologies such as Azure and AWS. Hands-on experience in AI and machine learning, including developing NLP-driven applications like my recent College Advisor Chatbot project. Certified in #Snowflake, #AzureDataEngineering, #Python and #Databricks, with a strong foundation in big data technologies. I am passionate about solving complex challenges, optimizing processes, and contributing to data-driven decision-making. 📩 If you’re hiring or know of opportunities in Data Engineering, Data Science, or related fields, feel free to connect or message me directly. Let’s collaborate and create impactful solutions together! #DataEngineer #DataScientist #OpenToWork #ETL #CloudTechnologies #AI #NLP #JobSearch #Hiring