Senior Data Scientist (LLM)

Overview

Company name: Mobilewalla | HQ Location: Atlanta, GA | Website | LinkedIn

Role: Senior Data Scientist (LLM)

• Salary: Rs. 30-45 lakhs per annum
• Experience: 4-5 years
• Location: Singapore/ Kolkata India/ Gurgaon India
• Type: Full-time

Responsibilities
1. Utilize Large Language Models: Harness the power of Large Language Models (LLMs) to analyse massive volumes of tabular data efficiently and effectively.

2. Tabular Data Analysis: Apply advanced statistical techniques and machine learning algorithms to uncover patterns, trends, and anomalies in complex tabular datasets.

3. Predictive Modelling: Develop and deploy predictive models using LLMs to forecast future trends, identify potential risks, and optimize business outcomes based on large-scale tabular data.

4. Data Handling and Pre-processing: Lead efforts in cleaning, pre-processing, and transforming raw tabular data to ensure quality, consistency, and scalability for analysis.

5. Collaborative Problem-Solving: Collaborate closely with cross-functional teams to understand business challenges, formulate data-driven solutions, and drive actionable insights from tabular data.

6. Product Enhancement:

• Work closely with product managers to identify 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.

7. Communication and Visualization: Effectively communicate findings, insights, and recommendations to non-technical stakeholders through clear visualizations, reports, and presentations.

8. Mentorship and Leadership: Provide guidance, mentorship, and technical leadership to junior data scientists and team members, fostering a culture of learning and innovation.

Qualifications:

1. Educational Background:  Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
2. Large Language Models (LLMs): Extensive experience working with Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) for processing and analysing tabular data at scale.
3. Programming Proficiency: Strong proficiency in programming languages such as Python or R, with expertise in libraries such as PySpark, Pandas, NumPy, scikit-learn, and TensorFlow/PyTorch for data manipulation, analysis, and modelling.

4. Experience:

• Proven track record of at least 4-5 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.

5. 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.

6. Domain Knowledge:

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

7. Preferred Qualification: Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products.
8. Collaboration: Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders.
9. 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.

About us

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.

Founder/Recruiter profiles:

Anindya Datta