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Job Location drjobs

California, CA - USA

Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

We are seeking a highly skilled and innovative Data Scientist with deep expertise in machine learning to join our data science team. In this role you will develop and deploy machine learning models analyze large datasets and uncover insights that drive decisionmaking and strategy. You will collaborate closely with crossfunctional teams including engineering product development and business units to solve complex problems and improve business outcomes through datadriven approaches.

Key Responsibilities:

  • Develop train and deploy machine learning models to support business objectives including predictive models classification algorithms and recommendation systems.
  • Analyze large datasets to identify patterns trends and insights using both structured and unstructured data sources.
  • Implement and optimize machine learning models in production using Python R or similar programming languages.
  • Collaborate with software engineers to integrate machine learning models into production environments.
  • Perform feature engineering and select appropriate models for specific business problems.
  • Design implement and analyze experiments to evaluate the impact of different strategies.
  • Stay current with advances in the field of machine learning AI and big data technologies.
  • Communicate technical findings and model results clearly to nontechnical stakeholders.

Required Skills and amp; Qualifications:

  • Masters or PhD in Data Science Computer Science Mathematics Statistics Machine Learning or related fields.
  • 3 years of experience in data science and machine learning roles.
  • Strong proficiency in machine learning algorithms (e.g. decision trees neural networks SVM clustering techniques and ensemble methods).
  • Expertise in programming languages such as Python (with libraries like Scikitlearn TensorFlow PyTorch) and R.
  • Proficient in handling large datasets using tools like Pandas NumPy or SQL.
  • Experience with deep learning frameworks and tools (e.g. TensorFlow Keras PyTorch).
  • Experience with cloud platforms such as AWS Azure or Google Cloud for deploying machine learning models.
  • Proficiency in statistical analysis and solid understanding of probability theory and statistical modeling.
  • Familiarity with data visualization tools like Matplotlib Seaborn Power BI or Tableau.
  • Experience with natural language processing (NLP) computer vision or reinforcement learning is a plus.
  • Strong problemsolving skills and ability to apply machine learning to realworld problems.
  • Excellent communication and collaboration skills.

Preferred Skills:

  • Experience with big data technologies like Hadoop Spark or Kafka.
  • Familiarity with MLOps and model deployment pipelines.
  • Knowledge of A/B testing experimental design and causal inference.
  • Ability to work with Git or version control systems for collaboration.
  • Experience with automated machine learning (AutoML) tools.

Benefits:

  • Competitive salary and performance bonuses.
  • Health dental and vision insurance.
  • Professional development opportunities.
  • Flexible working hours and the option to work remotely.
  • 401(k) matching and retirement plans.
  • Paid time off and holidays.

Employment Type

Full Time

Company Industry

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