Data Scientist

Company Description

Dimensionless Technologies is a global IT consultancy and AI services company founded in 2016 in Mumbai, India. We specialize in providing AI-based solutions to enhance operational efficiency and enable business growth for diverse industries. With offices in Mumbai and New Jersey, our expert team of data scientists, machine learning engineers, and software developers craft customized AI solutions such as security automation, fraud detection, and natural language processing. Driven by innovation, we are dedicated to helping organizations achieve their goals through cutting-edge technology.

Job Location:

India

Were seeking a skilled Data Scientist with expertise in SQL, Python, Machine Learning (Supervised and Unsupervised Learning techniques) to contribute to Team. Youll design predictive models, uncover actionable insights, and deploy scalable solutions to recommend optimal customer interactions. This role is ideal for a problem-solver passionate about turning data into strategic value.

Key Responsibilities

• Model Development: Build, validate, and deploy machine learning models using Python to drive recommendations across pricing, geography, etc.
• Cross-functional Collaboration: Partner with marketing, sales, and product teams to align models with business objectives and operational workflows.
• Cloud Integration: Optimize model deployment on AWS, ensuring scalability, monitoring, and performance tuning.
• Insight Communication: Translate technical outcomes into actionable recommendations for non-technical stakeholders through visualizations and presentations.
• Continuous Improvement: Stay updated on advancements in AI/ML, cloud technologies, and commercial analytics trends.

Qualifications

• Education: Bachelors/Masters in Data Science, Computer Science, Statistics, or a related field.
• Experience: 3-4 years in data science, with a focus on commercial/customer analytics (e.g., Retail, Supply Chain, etc. )
• AWS Certified Machine Learning Specialty or similar certifications.
• Experience with big data tools (Spark, Redshift) or ML Ops practices.
• Knowledge of NLP, reinforcement learning, or real-time recommendation systems.

Technical Skills:

• Proficiency in SQL (complex queries, optimization) and Python (Pandas, NumPy, Scikit-learn).
• Hands-on experience with AWS SageMaker (model training, deployment) and cloud services (S3, Lambda, EC2).
• Expertise in Traditional ML and experience in ML frameworks (XGBoost, TensorFlow/PyTorch) and A/B testing methodologies.
• Analytical Mindset: Strong problem-solving skills with the ability to derive insights from ambiguous data.
• Communication: Ability to articulate technical concepts to business stakeholders.