What are the responsibilities and job description for the Lead Data Scientist with AI/ML position at ExecutivePlacements.com?
Job Description
Pay Range: $65hr - $70hr
Pay Range: $65hr - $70hr
- Experience & Domain Knowledge: 6 years of experience in data analytics or a related field, with a substantial portion in the telecommunications industry preferably in the networking experienced in data analysis/data scientist roles.
- Data Analysis Skills: Exceptional analytical and problem-solving skills.
- dvanced proficiency in SQL for querying large databases and Python for data analysis (pandas, numpy, etc.) and scripting.
- Candidates can efficiently manipulate and analyze large datasets to extract meaningful insights.
- I/ML & LLM Proficiency: Experience with machine learning or advanced analytics techniques.
- Exposure to AI/ML frameworks (such as scikit-learn or TensorFlow) and familiarity with Large Language Models (LLMs) or natural language processing is a big plus - candidates comfortable exploring new AI-driven approaches to glean insights from data (structured or unstructured).
- Data Visualization: Proficiency in creating clear and compelling dashboards and visualizations using Tableau or Power BI (or similar tools).
- Candidates know how to tell a story with data, highlight key metrics, and make complex data understandable to non-technical stakeholders.
- Databricks & Big Data: Experience working with big data platforms like Databricks (or Spark) to perform distributed data processing and advanced analytics.
- bility to optimize data workflows and handle large-scale data (e.g., streaming data from telecom networks or high-volume customer transaction data).
- Detail-Oriented & Quality-Focused: Demonstrated commitment to data quality and accuracy.
- Experience with data assurance practices, data governance, or QA in analytics projects - candidates ensure the insights candidates provide are rock-solid and reliable.
- Strategic Mindset: Ability to see the big picture and align analysis with business strategy.
- s a senior professional, candidates can prioritize analysis that drives strategic decisions and not just produce reports.
- Candidates comfortable presenting to leadership and can translate data findings into strategic recommendations.
- Independent & Collaborative: Self-starter who can drive projects with minimal guidance, and a team player who collaborates well across departments.
- Candidates can independently manage candidates workload and also work in tandem with others - for example, pairing with a data engineer to improve data pipelines or brainstorming with a product manager on what metrics best define success for a new initiative.
- Education: A Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Engineering, or Business).
- Equivalent hands-on experience and certifications in analytics/AI are also considered.
Salary : $65 - $70
