Data Scientist – Remote (India)

Bizoforce Inc.; India; Remote; INR 900,000 - 1,500,000; Full time

Job summary

Bizoforce Inc. is seeking a highly analytical Data Scientist for a fully remote role in India. The candidate will work on end-to-end data science tasks, translating business problems into predictive solutions and collaborating with engineering, product, and analytics teams.

Requirements include 2–5 years of experience, strong Python and SQL skills, and a background in statistics or ML. The role offers a competitive salary and opportunities to work on real-world AI projects.

Qualifications

• 2–5 years of professional experience in Data Science, Machine Learning, Applied Mathematics, Statistics, or a related field.
• Strong programming skills in Python.
• Strong proficiency in SQL.

Responsibilities

• Analyze large and complex datasets to identify trends, patterns, relationships, and opportunities.
• Perform Exploratory Data Analysis (EDA) and statistical analysis to understand problems.
• Develop, train, validate, and optimize machine learning models.

Skills

Python

SQL

Statistics

Machine learning

Data analysis

EDA

Education

Bachelor's or Master's in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics

Job description

# Data Scientist – Remote (India)ConfidentialIndia remote full\\_time Posted today## Job DescriptionWe are seeking a highly analytical and technically skilled Data Scientist to join our growing Data Science and Artificial Intelligence team. The ideal candidate will have strong expertise in Python, SQL, statistics, machine learning, and data analysis, along with the ability to translate complex business problems into practical, data-driven solutions. As a Data Scientist, you will work with large and diverse datasets to uncover insights, develop predictive and machine learning models, conduct experiments, and support intelligent business decision-making. You will collaborate closely with engineering, product, analytics, and business teams to take data science solutions from exploration and experimentation through validation and, where applicable, production deployment. This role offers an opportunity to work on challenging real-world problems and contribute to the development of scalable, reliable, and measurable data-driven solutions.### Key ResponsibilitiesAnalyze large and complex datasets to identify meaningful trends, patterns, relationships, and opportunities Perform Exploratory Data Analysis (EDA) and statistical analysis to understand business and operational problems Develop, train, validate, and optimize machine learning models Apply appropriate supervised and unsupervised learning techniques based on business requirements Perform feature engineering, feature selection, and model evaluation Build predictive models for forecasting, classification, recommendation, segmentation, and other business use cases Define appropriate evaluation metrics and assess model performance Conduct statistical experiments and support A/B testing where required Develop data pipelines and analytical workflows for model development Write efficient SQL queries to extract and transform data from databases Clean, preprocess, and transform structured and unstructured datasets Communicate analytical findings and model results to technical and non-technical stakeholders Collaborate with Data Engineers to improve data availability and quality Work with Software Engineers to integrate data science models into applications and business systems Monitor model performance and identify opportunities for improvement Document datasets, methodologies, experiments, models, assumptions, and results Ensure solutions follow appropriate standards for data quality, privacy, security, and governance Stay current with developments in Machine Learning, AI, Generative AI, and Data ScienceRequired Skills & Qualifications2–5 years of professional experience in Data Science, Machine Learning, Applied Mathematics, Statistics, or a related field Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related discipline Strong programming skills in Python Strong proficiency in SQL### Hands-on experience withOpportunity to work on real-world Data Science and AI projects Experience developing and improving production-oriented machine learning solutions Exposure to modern ML and cloud technologies Collaboration with experienced data scientists, engineers, and product teams Experience solving complex business problems using data Opportunity to work with large-scale datasets Continuous learning and professional development Career growth opportunities across Data Science, Machine Learning, AI, and MLOpsWhat We Offer100% Remote Work – India Flexible Working Environment Competitive Salary Package Learning & Professional Development Opportunities Technical Mentorship and Knowledge Sharing Career Growth Opportunities Opportunity to Work on Advanced Data Science & AI Projects Collaborative and Innovation-Driven Work Culture Exposure to Modern Machine Learning and Cloud Technologies## Requirements* 2 years of experience requiredApply Now