Lead Data Scientist ? Telecom & AI/ML

Job Opportunity in Philadelphia, PA/West Chester PA

Join our team in the vibrant city of Philadelphia, PA, where you will be at the forefront of innovation in the telecom industry. This is an onsite role requiring a minimum of 4 days in the office, offering a dynamic and collaborative work environment.

Must Have Skills -
- Skill 1 - 7 Yrs of Exp - SQL, Python,
- Skill 2 - 7 Yrs of Exp - , Tableau, Data bricks,
- Skill 3 - 5Yrs of Exp - AI/ML,
Domain Experience: Telecom Mandatory

Key Responsibilities and Skills

• Experience & Domain Knowledge: Bring at least 6 years of experience in data analytics or a related field, with a significant focus on the telecommunications industry. Your background should include roles in data analysis or data science.
• Data Analysis Skills: Demonstrate exceptional analytical and problem-solving abilities. You should have advanced proficiency in SQL for querying large databases and Python for data analysis using libraries like pandas and numpy. Your expertise in manipulating and analyzing large datasets to extract meaningful insights is crucial.
• AI/ML & LLM Proficiency: Experience with machine learning or advanced analytics techniques is essential. Exposure to AI/ML frameworks such as scikit-learn or TensorFlow, and familiarity with Large Language Models (LLMs) or natural language processing, is a significant advantage.
• Data Visualization: Proficiency in creating clear and compelling dashboards and visualizations using Tableau or Power BI (or similar tools) is required. You should be able 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) is necessary for performing distributed data processing and advanced analytics. You should be able to optimize data workflows and handle large-scale data, such as streaming data from telecom networks or high-volume customer transaction data.
• Detail-Oriented & Quality-Focused: Demonstrated commitment to data quality and accuracy is essential. Experience with data assurance practices, data governance, or QA in analytics projects is required to ensure the insights provided are reliable.
• Strategic Mindset: Ability to align analysis with business strategy and prioritize analysis that drives strategic decisions. You should be comfortable presenting to leadership and translating data findings into strategic recommendations.
• Independent & Collaborative: A self-starter who can drive projects with minimal guidance and a team player who collaborates well across departments. You should be able to independently manage your workload and work in tandem with others, such as pairing with a data engineer or brainstorming with a product manager.
• Education: A Bachelor s or Master s degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Engineering, or Business) is required. Equivalent hands-on experience and certifications in analytics/AI are also considered.