5.0 - 9.0 years

0 Lacs

karnataka

On-site

As a Data Analyst at our leading MNC tech space client, you will be joining a high-impact team dedicated to AI-driven optimization for industrial batch processing. Your role will involve analyzing operational data, deriving insights, and collaborating with various teams to enhance material efficiency and device performance in production plants. Key Responsibilities: - Analyze batching data and device-level feed cycle logs to evaluate product performance and identify areas for enhancement. - Work closely with Product Owners to align analytical outcomes with the Batch AI roadmap. - Develop and maintain performance dashboards to monitor key performance indicators such as batching accuracy, material waste, and system throughput. - Transform intricate datasets into actionable insights for engineering and product stakeholders. - Engage in data reviews, cross-functional planning, and product sprint meetings. - Assist in the creation of AI behavior monitoring, spotting trends, and suggesting product enhancements. - Effectively communicate technical findings to diverse stakeholders, including executives, plant engineers, and field operators. - Ensure that data interpretation meets internal standards and specific customer requirements. What We're Looking For: - Bachelor's degree in Data Science, Engineering, Analytics, or related field - 5-8 years of experience in a data analyst/production analyst role, preferably in SaaS, manufacturing, or industrial domains - Proficiency in SQL and tools like Power BI, Tableau - Familiarity with time-series, operational, or industrial IoT data - Strong analytical and problem-solving skills along with a strategic approach - Excellent communication and data storytelling abilities to simplify complex data for non-technical stakeholders - Comfortable working in Agile teams and cross-functional environments - Experience in manufacturing analytics, process control, or concrete production is a strong advantage Tools & Tech Stack: - SQL - Power BI / Tableau - Time-series / IoT Data Platforms - Jira / Agile Environments Join us to: - Contribute to a data-first AI initiative with global impact - Drive real-world improvements in material efficiency and industrial automation - Collaborate with diverse, multi-functional teams across borders - Engage in cutting-edge analytics within industrial product development Apply now to be part of this immediate hiring opportunity and become a key player in our dynamic team. Immediate joiners will be given priority. Submit your CV to furkhan.airani@comfnet.de to kickstart the process.,

Posted 4 days ago

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Sr. Data Scientist (Predictive Analytics Focus & Databricks) Senior Programmer Analyst Bilvantis Technologies

3.0 - 7.0 years

0 Lacs

hyderabad, telangana

On-site

As a Senior Data Scientist with a focus on Predictive Analytics and expertise in Databricks, your primary responsibilities will involve designing and implementing predictive models for various applications such as forecasting, churn analysis, and fraud detection. You will utilize tools like Python, SQL, Spark MLlib, and Databricks ML to deploy these models effectively. Your role will also include building end-to-end machine learning pipelines on the Databricks Lakehouse platform, encompassing data ingestion, feature engineering, model training, and deployment. It will be essential to optimize model performance through techniques like hyperparameter tuning, AutoML, and leveraging MLflow for tracking. Collaboration with engineering teams will be a key aspect of your job to ensure the operationalization of models, both in batch and real-time scenarios, using Databricks Jobs or REST APIs. You will be responsible for implementing Delta Lake to support scalable and ACID-compliant data workflows, as well as enabling CI/CD for machine learning pipelines using Databricks Repos and GitHub Actions. In addition to your technical duties, troubleshooting Spark Jobs and resolving issues within the Databricks Environment will be part of your routine tasks. To excel in this role, you should possess 3 to 5 years of experience in predictive analytics, with a strong background in regression, classification, and time-series modeling. Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark is crucial for success in this position. Familiarity with tools like MLflow, Feature Store, and Unity Catalog for governance purposes will be advantageous. Industry experience in Life Insurance or Property & Casualty (P&C) is preferred, and holding a certification as a Databricks Certified ML Practitioner would be considered a plus. Your technical skill set should include proficiency in Python, PySpark, MLflow, and Databricks AutoML. Expertise in predictive modeling techniques such as classification, clustering, regression, time series analysis, and NLP is required. Familiarity with cloud platforms like Azure or AWS, Delta Lake, and Unity Catalog will also be beneficial for this role.,

Posted 1 week ago

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