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Salary
≈ $22k – $47k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Jul 22, 2026. Oneture Technologies scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Oneture is a cloud-first IT consulting, software engineering, and data analytics provider specializing in Amazon Web Services (AWS) architecture, cloud migration, big data engineering, and artificial intelligence integration. Headquartered in Mumbai, India, and founded in 2016, the enterprise provides end-to-end digital transformation services - encompassing custom SaaS application development, machine learning pipeline implementation, full-stack product engineering, and business intelligence.

Job Title: Senior Data Scientist

Location: Mumbai OR Bengaluru

Experience: 2-4 Years

Employment Type: Full-Time

Location & Flexibility:

Work Location: Mumbai OR Bengaluru. Candidates based in either Mumbai or Bengaluru should be open to relocating to the other location or to other locations as per business requirements; travel and accommodation for the same will be taken care of by Oneture

Oneture is building intelligent, cloud-native solutions that drive real business impact. We are looking for a passionate Senior Data Scientist to join our growing team and lead predictive modeling initiatives.

Role Overview

We are seeking a skilled Senior Data Scientist with strong expertise in Deep Learning, Time Series Forecasting, and Cloud-based Data Solutions. In this role, you will be responsible for designing, developing, and deploying advanced predictive models using modern ML frameworks and AWS cloud services to solve complex business problems and drive data-driven decisions.

Key Responsibilities

  • Design, develop, and deploy scalable machine learning and deep learning models using Python, NumPy, Pandas, Scikit-learn, and TensorFlow.
  • Build and implement robust time series forecasting solutions using models such as DeepAR, ARIMA, and other advanced techniques.
  • Develop and manage end-to-end data pipelines and cloud-based workflows using AWS services including S3, Athena, Redshift, and SageMaker.
  • Collaborate with cross-functional teams to define data requirements, evaluate model performance, and translate business needs into data science solutions.
  • Lead model monitoring, optimization, and continuous improvement initiatives in production environments.

Required Skills & Experience

  • 2-4 years of hands-on experience in Data Science, Machine Learning, or a related field.
  • Strong proficiency in Python and libraries like NumPy, Pandas, Scikit-learn, and TensorFlow.
  • Solid understanding of deep learning concepts and time series forecasting models like DeepAR and ARIMA.
  • Proven experience with AWS ecosystem - S3, Athena, Redshift, and SageMaker.
  • Excellent problem-solving, analytical thinking, and communication skills.

Preferred Qualifications

  • Experience in model deployment, MLOps, and model performance monitoring.
  • Familiarity with big data frameworks such as Apache Spark and Hadoop.
  • Bachelor's / Master's degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field.

About Oneture Technologies

Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities.

Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. The Oneture team delivers full lifecycle solutions- from ideation,

project inception, planning through deployment to ongoing support and maintenance.

Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML. Our deep commitment to value creation for our clients and partners and “Startups-like agility with Enterprises-like maturity” philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for

them.

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