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Salary
≈ $19k – $42k per year (Estimated)
Location
In office (Kolkata)
Seniority
Senior · 4+ years exp
Employment
Full-Time

First seen by Alion on Oct 27, 2026.

Overview
Company
Impact
Profile match
Mobilewalla provides consumer behavioural data and AI models used for marketing, credit and risk decisions. Its datasets cover hundreds of millions of device profiles. The company is headquartered in Singapore.
Backed by Madrona

Do you possess excellent problem solving abilities, programming skills and a passion for creating innovative applications

Are you interested in working with one of the largest data repositories in the world today, soon to exceed 1 Exabyte

Do you see yourself as an integral part of a highly skilled, multidisciplinary team solving hard data science problems through ground-breaking innovations and bringing them to real production

Do you feel comfortable in challenging problem solving environments where the issues confronting you often have no pre-set solutions, require first-principles thinking and need to be addressed on tight deadlines

If you answered YES to the above, we have the ideal opportunity for you at Mobilewalla.

About Mobilewalla:

Mobilewalla stands as one of the world's fastest-growing consumer intelligence companies, headquartered in the United States and maintaining a global presence with offices across Europe, APAC, and ANZ regions.

Our innovative approach involves the development of cutting-edge computational techniques, ranging from semantic compression algorithms that enable cost-effective storage of vast datasets to statistical modeling techniques that profile anonymous consumers on their mobile devices. This innovation has led to the creation of the largest consumer audience platform in the mobile space. Mobilewalla's platform is rapidly becoming the preferred asset for global marketers seeking to execute data-driven marketing campaigns. We take pride in our technical excellence, having earned accolades such as the AWS Technology Company of the Year award in 2019. Additionally, we have been recognized as a premier data company by Oracle Data Cloud, the world's largest digital data marketplace — a distinction shared by only 18 companies globally.

Responsibilities:

Advanced Analytics:

  • Develop and implement predictive models, algorithms, and statistical analyses to extract meaningful insights from large datasets specific to the Telco domain.
  • Design experiments and conduct exploratory data analysis to identify trends, patterns, and opportunities for product enhancement.

Machine Learning:

  • Apply machine learning techniques to optimize and personalize Telco product features.
  • Collaborate with cross-functional teams to integrate machine learning models into our products, ensuring seamless user experiences.

Data Modelling:

  • Build and maintain robust data models (community detection) for Telco-specific datasets, considering scalability, efficiency, and accuracy.
  • Continuously evaluate and enhance existing models (Householding and Business Community detection) to improve predictive performance.

Product Enhancement:

  • Work closely with product managers to identify Telco market trends and customer needs, translating them into actionable data science projects.
  • Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction.

Communication:

  • Effectively communicate complex analytical findings to both technical and non-technical stakeholders, facilitating informed decision-making.

Qualifications:

Educational Background:

  • Master's or Ph.D. in Mathematics, Data Science, Statistics, Computer Science, or a related field.

Experience:

  • Proven track record of at least 4 years in a data science role with a focus on Telco competitive intelligence products.
  • Strong experience in applying machine learning algorithms and statistical modeling in the Telco domain.

Technical Skills:

  • Proficiency in programming languages such as Python or R.
  • Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools.

Domain Knowledge:

  • In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies.
  • Familiarity with Telco-specific datasets and data sources.

Preferred Qualification:

  • Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products.

Collaboration:

  • Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders.

Communication Skills:

  • Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner.

If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join our team and contribute to the success of our cutting-edge products in the telecommunications space.

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