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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Apex Analytics Solutions
San Francisco
Salary Estimate
USD 140.000 – USD 180.000
Latest
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are looking for a visionary Senior Data Scientist to join our elite analytics team at Apex Analytics Solutions. In this role, you will be at the forefront of our data-driven transformation, turning raw information into actionable intelligence that shapes our product roadmap.

Our ideal candidate is not just a statistician but a storyteller who can bridge the gap between complex algorithms and business strategy. If you thrive in a fast-paced, innovative environment and are passionate about leveraging cutting-edge technology to solve real-world problems, we want to meet you.

Responsibilities

  • Design and implement scalable machine learning models and statistical analysis frameworks to solve complex business problems.
  • Lead the end-to-end data lifecycle, from data ingestion and cleaning to feature engineering and model deployment.
  • Collaborate closely with cross-functional product and engineering teams to translate business requirements into technical data solutions.
  • Develop and maintain robust data pipelines and ETL processes using cloud technologies (AWS/GCP/Azure).
  • Perform exploratory data analysis (EDA) to derive actionable insights and identify trends that drive strategic decision-making.
  • Stay abreast of the latest advancements in AI, NLP, and deep learning to innovate our analytical capabilities.

Qualifications

  • Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 3+ years of experience in data science, machine learning, or a similar analytical role.
  • Proficiency in programming languages such as Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Strong understanding of statistical modeling, A/B testing, and experimental design.
  • Experience with deep learning frameworks (TensorFlow, PyTorch) or Natural Language Processing (NLP) is a plus.
  • Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.

Required Skills

Python SQL Machine Learning TensorFlow Pandas Statistics AWS Data Modeling A/B Testing

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