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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus AI Solutions
San Francisco
Salary Estimate
USD 140.000 – USD 180.000
Latest
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Nexus AI Solutions is pioneering the next generation of predictive analytics. We are looking for a highly skilled Senior Data Scientist to lead our analytics division. In this pivotal role, you will be responsible for developing complex algorithms that drive our core product features and optimize business operations. You will work in a collaborative, fast-paced environment where your insights will directly influence product strategy.

We pride ourselves on our culture of innovation, offering competitive compensation, equity options, and a flexible remote-first work culture.

Responsibilities

  • Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment.
  • Conduct deep exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Collaborate with software engineers to integrate statistical models into scalable production systems.
  • Develop and mentor junior team members, fostering a culture of continuous learning and technical excellence.
  • Translate complex data findings into clear, actionable insights for executive stakeholders.
  • Optimize model performance and accuracy through rigorous testing and hyperparameter tuning.
  • Stay abreast of the latest research in Deep Learning and NLP to apply cutting-edge techniques.

Qualifications

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or a similar role.
  • Expert proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Strong experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Proven experience working with big data technologies (e.g., Spark, Hadoop, or cloud data warehouses).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences.

Required Skills

Python Machine Learning Deep Learning SQL PyTorch TensorFlow Data Mining Statistical Modeling A/B Testing Natural Language Processing Spark

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