Senior Data Scientist/Analyst

Galent; Philadelphia (Philadelphia County); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading company in telecommunications is seeking a Senior Data Scientist/Data Analyst to join their team in Philadelphia. This onsite role requires extensive experience in data analytics, with a strong focus on SQL, Python, and AI/ML technologies. The successful candidate will leverage their analytical skills to drive insights and support strategic business decisions. A Bachelor's or Master's degree in a relevant field is required, along with a commitment to data quality and collaboration across teams.

Qualifications

• 6+ years in data analytics or related field, preferably in telecommunications.
• Strong analytical skills with proficiency in SQL and Python.
• Experience with machine learning frameworks and data visualization tools.

Responsibilities

• Analyze large datasets to derive insights and support business strategies.
• Create dashboards and communicate findings effectively to stakeholders.
• Ensure data quality and governance in analytics projects.

Skills

SQL

Python

Tableau

Databricks

AI/ML

Telecom experience

Education

Bachelor’s or Master’s in Data Science, Statistics, Computer Science, Engineering, Business

Tools

Power BI

Spark

ETL

ELT

Cloud Technologies

Job description

Role: Senior Data Scientist/Data Analyst

Type: Contract

Location: Philadelphia, PA (Onsite)

Experience: 12-15 years

Mandatory Skills: SQL, Python, Tableau, Databricks, AI/ML, Telecom experience

Optional Skills: Power BI, Spark, ETL, ELT, Cloud Technologies

Job Description

This is an onsite role requiring a minimum of 4 days in the office.

1. Experience & Domain Knowledge: 6+ years in data analytics or related field, preferably in telecommunications industry, with experience in data analysis or data scientist roles.
2. Data Analysis Skills: Strong analytical and problem-solving skills. Proficiency in SQL and Python for data querying and analysis. Ability to manipulate large datasets for insights.
3. AI/ML & LLM Proficiency: Experience with machine learning frameworks (scikit-learn, TensorFlow) and familiarity with LLMs or NLP. Ability to explore AI-driven data insights.
4. Data Visualization: Skilled in creating dashboards using Tableau or Power BI. Ability to communicate data stories effectively.
5. Databricks & Big Data: Experience with Databricks or Spark for distributed data processing. Capable of handling high-volume data streams.
6. Detail-Oriented & Quality-Focused: Commitment to data quality, governance, and accuracy in analytics projects.
7. Strategic Mindset: Ability to align analysis with business strategy and present findings to leadership.
8. Independent & Collaborative: Self-starter with the ability to manage projects independently and collaborate across teams.
9. Education: Bachelor’s or Master’s in Data Science, Statistics, Computer Science, Engineering, Business, or equivalent experience and certifications.