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💬 Person 1: What is the best Course? 💬 Person 2: Data science. 📊 💬 Person 1: So, where should I go to learn data science, Bangalore or Hyderabad or Chennai? 💬 Person 2: No, Bangalore, Chennai, or Hyderabad. 🌍 💬 Person 1: So, where should I go? 💬 Person 2: Tirupati, Takeoff Upskill. 🚀 #DataScience #Tirupati #TakeoffUpskill

In India, the salary of a data scientist varies widely depending on factors such as experience, skills, industry, and location. On average, entry-level data scientists can expect to earn between ₹6 to ₹8 lakhs per annum. With a few years of experience, salaries typically range from ₹10 to ₹15 lakhs per annum. Highly experienced professionals, particularly those in leadership roles or with expertise in specialized areas like machine learning, AI, or big data, can command salaries exceeding ₹20 lakhs per annum. Cities like Bangalore, Mumbai, and Delhi often offer higher salaries due to the concentration of tech companies and startups in these regions.

Top Data Science Jobs to Apply this Month https://lnkd.in/eFXsST_S Looking for top Data Science jobs this September? Check out opportunities in Hyderabad at leading companies like Google, Microsoft, and more. Apply now! #DataScienceJobs #HyderabadCareers #TechJobs #AI #MachineLearning #AINews #AnalyticsInsight #AnalyticsInsightMagazine

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

Hi Everyone, we have an urgent requirement for Data scientist. Role: Data scientist. Experience: 3- 6 year Location: Bangalore Skills: Python,Data-Analytics,Data-Science Strong experience with statistical analysis. Proficient in programming languages such as Python and R. Experience with big data technologies such as Hadoop, Spark, ELK and NoSQL databases. Excellent communication and presentation skills. Ability to work independently and in a team environment. Experience with project management tools and methodologies (e.g. Agile, Scrum). Knowledge of data visualization tools and techniques (e.g. Tableau, PowerBI, ELK).  Extract, process, and analyze large data sets to develop insights and support decision making. Build and maintain predictive models and algorithms to support business objectives. Design and implement experiments to validate and refine models. Communicate insights and findings to stakeholders and make data-driven recommendations. Collaborate with cross-functional teams to identify and solve business problems. Stay up-to-date with the latest trends and technologies in data science and machine learning. #Dataanalyst #Datascience #ML #AI #Python #R #Bigdata #Hiring #Hiringimmediate #Urgertrequirement #datavisualization

Hello Connections, #Hiring Data Scientist, #Datascientist Experience - 3 years - 5 years Location - Bangalore Budget - 10 LPA Skill - Python, ML, SQL Please share your CV to madhuri.arumulla@scienstechnologies.com Expertise on Python to prepare & update algorithm Good understanding of Statistical and ML concepts Expertise on Power BI to produce dashboards Understanding of SQL to connect Power BI to Datalake & create automated outputs/Dashboards Excellent excel, Power point and basic VBA, SQL skillset to convert unstructured data into structured format which optimizes time spent on data handling Developing business-friendly presentations, transforming thoughts into key actions for business and showing the model to justify recommendations

Hello Connections, #Hiring Data Scientist, #Datascientist Experience - 3 years - 5 years Location - Bangalore Budget - 10 LPA Skill - Python, ML, SQL Please share your CV to madhuri.arumulla@scienstechnologies.com Expertise on Python to prepare & update algorithm Good understanding of Statistical and ML concepts Expertise on Power BI to produce dashboards Understanding of SQL to connect Power BI to Datalake & create automated outputs/Dashboards Excellent excel, Power point and basic VBA, SQL skillset to convert unstructured data into structured format which optimizes time spent on data handling Developing business-friendly presentations, transforming thoughts into key actions for business and showing the model to justify recommendations

Hiring alert: Tiger Analytics is hiring for the below positions: Data Scientist: 4 - 7 Years Location: Chennai, Bangalore, Hyderabad About the role : As a Data Scientist, you will be at the forefront of driving innovation through cutting-edge data analytics and machine learning applications across diverse industries. On a typical day, immerse yourself in the following: Analytical Translation: Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies. Problem Solving: While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital. Client Engagement: Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities. Algorithmic Expertise: Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges. Quantitative Mastery: Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making. Cross-Functional Collaboration: Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life. Desired Skills and Experience : 4 -7 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities. Good communication skills, both verbal and written. Exhibit a fervour for crafting modular, scalable, and bug-free Python code. Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint. Experience in production engineering best practices (e.g. Git versioning, Docker). Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark) Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP). Excitement to collaborate with diverse stakeholders across the organisation. In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods. Hunger to learn new technologies and embrace the change. Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations. Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role. #tigeranalytics #openpositions #jobalert #jobopening #datascientist

Hi All, We Are hiring!!! Position-Senior Data Scientist Location-Pune/ Hyderabad / Gurgaon / Hybrid Experience-5 to 8 years If your skillset matches to the requirement please share your updated CV to Prajakta.Pingle1@askyservices.com with subject 1887 - Sr. Data Scientist With following details. 1)What is your total experience? 2)What is your relevant experience? 3)What is your current CTC? 4)What is your expected CTC? 5)What is your notice period?(In days) JD: Key Skills:- Python, ML frameworks (like Keras or PyTorch,  libraries (like scikit-learn). Must Have skills:-  Proficiency in Python. Familiarity with ML frameworks (like Keras or PyTorch) and libraries (like scikit-learn). SQL experience is must Comfortable with tech stack - sql/Hive, Python, tableau Strong knowledge of statistics and probability. Experience with machine learning, supervised and unsupervised methods on large datasets. (KNN, Neural Networks, Logistic regression, Random Forest, XGBoost, Emsemble techniques etc) Storytelling Experience who can translate data into actionable business insights. Payments and banking domain knowledge preferred. Experience with PySpark preferred with optimization techniques. Understanding of data structures, data modeling, and software architecture. Good to Have skills:-  Exp in R or Scala Role & Responsibilities:- Feature Engineering: Identify relevant features from the raw data. Model Development and Training: Develop and train ML models using appropriate algorithms. Model Testing and Validation: Test the models and validate their accuracy and reliability. Model Deployment: Deploy the models to the production environment. Model Monitoring and Updating: Monitor the models' performance and update or retrain them as necessary.

Chennai Azure Data Engineer 4+ Yrs Data Engineer with Databricks Skills Design, build, and maintain efficient, scalable, and reliable data pipelines within the Databricks platform. Execute Extract, Load, Transform (ELT) operations using Databricks and DBT Labs tools to streamline data integration processes. Collaborate closely with data architects, analysts, and business stakeholders to understand and implement database requirements. Develop best practices for data handling, quality, and security within Databricks environments. Troubleshoot and optimize complex SQL and Databricks scripts for performance. Databricks Database Skills: Strong expertise in data warehousing, data integration, and database management on Databricks. (DBT Labs): Its good to have if candidate has Hands-on experience with DBT(Data build tools) Labs tools for ELT, ensuring data integrity and transforming raw data into actionable insights. 4+ years of experience in data engineering, with a primary focus on Databricks. Proficiency in SQL, data transformation, and data pipeline optimization. Apply: #WhatsApp 91-6232667387 Follow Jobs - Data Analyst | Data Engineer | Business Analyst | etc. #DataAnalytics #DataAnalysis #DataScience #BusinessIntelligence #DataVisualization #SQL #Python #Statistics #DataEngineering #BigData #ETL #DataPipeline #BusinessAnalysis #DataDriven #interview #career #hiring #jobs #jobsearch #jobseekers