Smart Ims
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Information Technology Support Services · 1001 to 5000 Employees · Plainsboro, US
Smart IMS is founded by business and technology experts with extensive backgrounds in designing, implementing, and managing large and complex IT projects at Fortune 500 companies. We are headquartered in Plainsboro, New Jersey (US), with offices in India, Singapore, Hong Kong, Malaysia, Australia, UK, KSA and UAE.
What employees say
+ Good Compensation & Tier-1 Exposure: The pay structure is competitive, and being deployed to high-scale enterprise product companies and top-tier consumer tech clients provide
− Severe Work-Life Imbalance: High-pressure sprint cycles from client deployments often require routine late-night deliverables and weekend work to meet rigid deadlines with little
More reviews on the company profile.
Interview experience · Junior Java Developer
The interview process was very smooth and the Staff the employees who conducted our hiring process were very professional and hospitable. Loved the expedience there. They also offered us food after we were done with our
Average difficulty · India · 16 reports
More interview insightsJob description
Overview
We are seeking a motivated Data Scientist with 2–3 years of experience in data analysis, machine learning, and predictive modeling.
Responsibilities
- We are seeking a motivated Data Scientist with 2–3 years of experience in data analysis, machine learning, and predictive modeling. The ideal candidate will have hands-on experience with Python, SQL, and machine learning libraries to develop data-driven solutions and generate actionable insights.
- The candidate will collaborate with cross-functional teams to understand business requirements, perform exploratory data analysis, build and evaluate machine learning models, and support the development of AI/ML and analytics solutions.
- Collect, clean, merge, and transform data from multiple sources for analysis.
- Perform exploratory data analysis (EDA), data wrangling, and feature engineering.
- Develop, train, evaluate, and optimize machine learning models using Python.
- Apply machine learning techniques such as regression, classification, clustering, time series analysis, and ensemble methods.
- Use Python libraries such as Pandas, NumPy, Scikit-learn, and other relevant ML frameworks.
- Write and optimize SQL queries to extract and analyze data.
- Collaborate with business stakeholders and technical teams to understand requirements and develop analytical solutions.
- Support the development and implementation of AI/ML solutions, including Generative AI applications where applicable.
- Document analytical workflows, model results, and technical specifications.
- Monitor model performance and contribute to continuous improvement initiatives.
- Participate in code reviews, testing, and Agile development activities.
- Stay updated on emerging data science techniques, tools, and industry best practices.
Qualifications
- 2–3 years of experience in Data Science, Machine Learning, or Data Analytics.
- Strong programming skills in Python and SQL.
- Hands-on experience with Pandas, NumPy, and Scikit-learn.
- Good understanding of machine learning algorithms and statistical concepts.
- Experience in data preprocessing, exploratory data analysis, and feature engineering.
- Knowledge of model evaluation, validation, and performance optimization.
- Strong analytical thinking, problem-solving, and troubleshooting skills.
- Good communication and collaboration skills.
- Familiarity with Git and version control systems.
- Exposure to deep learning frameworks such as TensorFlow or PyTorch.
- Basic knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).
- Familiarity with PySpark and distributed data processing.
- Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
- Understanding of CI/CD pipelines, automation, and model deployment practices.
- Familiarity with data visualization tools and business intelligence platforms.
- Exposure to time series forecasting and advanced analytics techniques.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
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Job application FAQ
Last updated 24 October 2026
- How do I apply for Specialist I – Data Science at Smart Ims?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Smart Ims may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Specialist I – Data Science role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Specialist I – Data Science remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Specialist I – Data Science role at Smart Ims?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.