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Senior Data Scientist- LLM
We Remote Devs
posted 2mon ago
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Job Description
We are seeking a talented and experienced Senior Data Scientist specializing in handling massive tabular data on Large Language Models (LLMs) to join our client\u2019s team Mobilewalla, a global, fast-growing consumer data and technology company headquartered in Atlanta, GA, USA, you will play a crucial role in leveraging your expertise in tabular data analysis and LLMs to extract insights, build predictive models, and drive data-driven decisions at scale, especially for our Telco Vertical product. Collaborating closely with fellow engineers, you will contribute to the evolution of our platform by developing large-scale systems that process and act on massive amounts of data both in real-time and offline. \u200b
Responsibilities:
1 . Utilize Large Language Models : Harness the power of Large Language Models (LLMs) to analyse massive volumes of tabular data efficiently and effectively.
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 :
1. Work closely with product managers to identify market trends and customer needs, translating
them into actionable data science projects.
2. 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:
Qualifications:
1. Educational Background:
o Master\u2019s 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:
o Proven track record of at least 4-5 years in a data science role with a focus on Telco competitive intelligence products.
o Strong experience in applying machine learning algorithms and statistical modeling in the Telco domain.
5. Technical Skills:
o Proficiency in programming languages such as Python or R.
o Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch,
PySpark) and data manipulation tools.
6. Domain Knowledge:
o In-depth understanding of Telecommunications industry trends, challenges, and emerging
technologies.
o Familiarity with Telco-specific datasets and data sources.
7. Preferred Qualification:
o Experience with Location Intelligence, including geospatial analytics, GIS tools, and the
application of location-based data in Telco products.
8. Collaboration:
o Proven ability to collaborate effectively with cross-functional teams, including product
management, engineering, and business stakeholders.
9. Communication Skills:
o Excellent communication skills with the ability to present complex technical findings in a clear
and understandable manner.
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence
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