Data Scientist | 1 yr | Epsilon
Epsilon Off Campus Drive 2025
Epsilon Recruitment | 1 year | Data Scientist 1 | Bengaluru
Epsilon Technologies seeks Data Scientist 1 to analyze complex datasets, develop machine learning models, and provide insights for business decisions. Responsibilities include data mining, statistical analysis, and collaborating with cross-functional teams. Ideal candidates possess a strong background in mathematics, statistics, and programming languages like Python or R. Join us in shaping the future of data analytics.
Data Scientist 1 (1 year)
Published on : Mar 27, 2025
Epsilon Technologies is hiring for the post of Data Scientist 1. Interested and eligible candidates can read more details below.
Company Name : Epsilon Technologies
Job Location : Bangalore, KA, India
Job Title : Data Scientist 1
Education : Master’s Degree / PhD
Experience : 1 year
Job Function : Data Sciences
Epsilon Recruitment 2025
Responsibilities :
» Contribute and build an internal product library that is focused on solving business problems related to prediction & recommendation.
» Research unfamiliar methodologies, techniques to fine tune existing models in the product suite and, recommend better solutions and/or technologies.
» Improve features of the product to include newer machine learning algorithms in the likes of product recommendation, real time predictions, fraud detection, offer personalization etc
» Participate in building automations and standalone applications around machine learning algorithms to enable a “One Click” solution to getting predictions and recommendations.
» Analyze large datasets, perform data wrangling operations, apply statistical treatments to filter and fine tune input data, engineer new features and eventually aid the process of building machine learning models.
» Run test cases to tune existing models for performance, check criteria and define thresholds for success by scaling the input data to multifold.
» Demonstrate a basic understanding of different machine learning concepts such as Regression, Classification, Matrix Factorization, K-fold Validations and different algorithms such as Decision Trees, Random Forrest, K-means clustering.
Qualifications :
» Master’s or PhD in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science) is highly preferred.
» Showcase strong proficiency in machine learning and data science through completed projects that highlight their technical expertise and practical application skills.
» Proficiency in Python and big data/ cloud technologies (Databricks and Spark) with a minimum of 1 years of working experience or project submissions
» Knowledge in developing classification and segmentation models
» Experienced with machine learning algorithms such as logistic regression, random forest, XG boost, KNN, SVM, deep learning frameworks (TensorFlow, PyTorch, or Keras).
» Experience with generative AI tools and platforms, such as OpenAI and Hugging Face Transformers, including familiarity with their applications and capabilities
» Kaggle experience, including notable achievements or recognitions in competitions, is not mandatory but highly valued.
How to Apply :
All interested and eligible candidates can apply in online mode for Data Scientist 1 position…. 👇👇
Apply for this Job..Join our Telegram group: Click here
Follow us on Instagram: Click here
Join our WhatsApp group: Click here
Data Scientist Salary : 💵💵The salary for this role is upto ₹18.0 LPA *💵💵
About Epsilon Technologies
Epsilon Technologies pioneers cutting-edge AI solutions, revolutionizing industries worldwide. Their flagship product, the E Quantum Processor, boasts unparalleled processing power and efficiency. From healthcare to finance, Epsilon’s innovations redefine possibilities. With a commitment to excellence and innovation, Epsilon continues to push boundaries in the tech landscape, shaping the future of artificial intelligence and machine learning.
Epsilon on the web
Website LinkedIn Twitter Facebook
— Epsilon Careers —
♣ Best Agriculture Companies to work for..
♣ Best Automobile / Auto Components Companies to work for..
♣ Best Banking / Finance / Insurance Sectors to work for..
♣ Best Construction Companies to work for..
♣ Best E-Commerce Companies to work for..
♣ Best Oil / Gas / Petro Chemicals Companies to work for..
♣ Best Pharmaceutical Companies to work for..
♣ Best Ports, Shipping & Logistics Companies to work for..
* – Approximate pay range
Post expires on Monday May 12th, 2025