FactSet creates flexible open data and software solutions for over 200 000 investment professionals worldwide providing instant access to financial data and analytics that investors use to make crucial decisions At FactSet our values are the foundation of everything we do They express how we act and operate serve as a compass in our decision-making and play a big role in how we treat each other our clients and our communities We believe that the best ideas can come from anyone anywhere at any time and that curiosity is the key to anticipating our clients needs and exceeding their expectations Team Impact At FactSet we re working to be the best financial data provider on earth To get there we need highly motivated talented individuals who are empowered to find answers through creative technology As a Data Science Engineer in Content Engineering you will be part of our Digital Transformation a mission to automate our data acquisition quality assurance content creation and analytics in a scalable cloud environment With the guidance of financial experts you will leverage these large data sets to improve the quality and extend the scope of FactSet s existing and next generation products What You II Do Ingest and analyse various data sources to drive innovation in content creation Automate the acquisition relevance scoring and storage of incoming sources Develop processes for data mining data concordance and data production Explore and evaluate new data technologies to build a scalable cloud oriented data platform Optimize data retrieval develop dashboards and other visualizations for financial experts System Pipeline Development Architect and implement scalable ML pipelines for training validation inference and monitoring Collaborate with data engineers to ensure high-quality data ingestion feature engineering and labeling workflows Contribute to MLOps practices by building reproducible testable and maintainable model delivery frameworks Assist in designing developing and implementing machine learning models for real-world applications Work on data collection preprocessing feature engineering and model evaluation tasks Collaborate with cross-functional teams including Data Science Software Engineering and Product Perform exploratory data analysis EDA and prepare datasets for training testing Contribute to the deployment and monitoring of models in production environments Write clean efficient and well-documented code in Python or similar languages Stay updated with the latest developments in AI ML research and tools Assist in model optimization hyperparameter tuning and performance scaling Stay current with the latest industry trends and technologies contributing innovative ideas to ongoing projects Test and validate models to ensure their reliability and effectiveness in production environments Work with large datasets to extract meaningful insights using various statistical and ML techniques What We re Looking For Educational Background Bachelor s or master s degree in computer science Engineering or a related field is required Experience 3-5 years of experience in software development with a focus on systems handling large-scale data operations Strong foundation in Machine Learning concepts supervised unsupervised learning regression classification clustering etc Good programming skills in Python or similar languages like R Java C Hands-on experience with ML libraries and frameworks e g scikit-learn TensorFlow PyTorch Keras Understanding of data structures algorithms and basic mathematics statistics and database management systems Excellent verbal and written communication skills capable of articulating complex concepts to technical and non-technical audiences Familiarity with data handling tools e g Pandas NumPy SQL Valuable analytical problem-solving and communication skills Ability to learn new technologies quickly and work independently or as part of a team Ability to work collaboratively in a team workplace contributing to group success while expanding personal skills Desired Skills Strong experience and proficiency with Python Pandas Numpy and AWS APIs Experience with modern data platforms such as Spark Hadoop or other map reduce big data systems and services Experience with a variety of data stores such as ArangoDB MongoDB Cassandra HBase DynamoDB Experience with AWS environment e g Amazon Kinesis AWS Glue Redshift EC2 S3 EMR Exposure to deep learning NLP computer vision or reinforcement learning projects academic or internships Knowledge of cloud platforms like AWS Azure or GCP Familiarity with version control systems e g Git Understanding of MLOps concepts and pipelines bonus What s In It For You At FactSet our people are our greatest asset and our culture is our biggest competitive advantage Being a FactSetter means The opportunity to join an S P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up Support for your total well-being This includes health life and disability insurance as well as retirement savings plans and a discounted employee stock purchase program plus paid time off for holidays family leave and company-wide wellness days Flexible work accommodations We value work life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives A global community dedicated to volunteerism and sustainability where collaboration is always encouraged and individuality drives solutions Career progression planning with dedicated time each month for learning and development Business Resource Groups open to all employees that serve as a catalyst for connection growth and belonging Salary is just one component of our compensation package and is based on several factors including but not limited to education work experience and certifications Company Overview FactSet NYSE FDS NASDAQ FDS helps the financial community to see more think bigger and work better Our digital platform and enterprise solutions deliver financial data analytics and open technology to more than 8 200 global clients including over 200 000 individual users Clients across the buy-side and sell-side as well as wealth managers private equity firms and corporations achieve more every day with our comprehensive and connected content flexible next-generation workflow solutions and client-centric specialized support As a member of the S P 500 we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees Choice Award winner Learn more at www factset com and follow us on X and LinkedIn At FactSet we celebrate difference of thought experience and perspective Qualified applicants will be considered for employment without regard to characteristics protected by law

📌 Software Engineer Iii (Telangana)
🏢 FACTSET
📍 Telangana