Data Analyst/data Scientist

Come join Analog Devices ADI a place where Innovation meets Impact For more than 55 years Analog Devices has been inventing new breakthrough technologies that transform lives At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles drones and factories to augmented reality and remote healthcare ADI fosters a culture that focuses on employees through beneficial programs aligned goals continuous learning opportunities and practices that create a more sustainable future ADI At A GlanceAnalog Devices Inc NASDAQ is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge ADI combines analog digital and software technologies into solutions that help drive advancements in digitized factories mobility and digital healthcare combat climate change and reliably connect humans and the world With revenue of more than 12 billion in FY23 and approximately 26 000 people globally working alongside 125 000 global customers ADI ensures todays innovators stay Ahead of Whats Possible Learn more at and on Analog Devices Inc NASDAQ ADI is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge ADI combines analog digital and software technologies into solutions that help drive advancements in digitized factories mobility and digital healthcare combat climate change and reliably connect humans and the world With revenue of more than 12 billion in FY22 and approximately 25 000 people globally working alongside 125 000 global customers ADI ensures todays innovators stay Ahead of Whats Possible Location Bangalore IndiaOverview We are looking for a highly analytical and motivated Data Analyst Data Scientist to join our central data team As a new college graduate you will play a key role in supporting our Enterprise Data Platform analyzing complex datasets and applying machine learning techniques to solve business problems This role will provide you with hands-on experience in data analysis visualization and predictive modeling allowing you to make a tangible impact across multiple business units ResponsibilitiesAnalyze large datasets to generate insights that drive business decisions and strategy Develop dashboards and reports using tools like Tableau Power BI or equivalent Collaborate with data engineers and business stakeholders to define analytical models and reporting needs Assist in building and deploying predictive models and machine learning solutions Perform data cleaning transformation and feature engineering to prepare data for analysis Present findings and insights to key stakeholders through visualizations and reports Contribute to data-driven initiatives to improve efficiency and decision-making across the company Qualifications Bachelors degree in Data Science Statistics Mathematics Computer Science or a related field Proficiency in Python R and SQL for data manipulation and analysis Strong foundation in statistics data analysis and machine learning concepts Familiarity with data visualization tools such as Tableau Power BI or similar Ability to work in a collaborative cross-functional environment and communicate effectively with both technical and non-technical stakeholders Preferred Skills Experience with machine learning libraries such as scikit-learn TensorFlow or PyTorch Knowledge of data cleaning and transformation techniques Basic experience with cloud platforms Azure AWS or GCP Familiarity with big data tools like Spark is a plus For positions requiring access to technical data Analog Devices Inc may have to obtain export licensing approval from the U S Department of Commerce - Bureau of Industry and Security and or the U S Department of State - Directorate of Defense Trade Controls As such applicants for this position except US Citizens US Permanent Residents and protected individuals as defined by 8 U S C 1324b a 3 may have to go through an export licensing review process Analog Devices is an equal opportunity employer We foster a culture where everyone has an opportunity to succeed regardless of their race color religion age ancestry national origin social or ethnic origin sex sexual orientation gender gender identity gender expression marital status pregnancy parental status disability medical condition genetic information military or veteran status union membership and political affiliation or any other legally protected group Job Req Type Graduate JobRequired Travel No