Data Scientist

3 weeks ago

Fremont, United States CareerBuilder Full time

Job Title: Data Scientist / Machine Learning Engineer

Infosys/Apple

Job Description:

We are seeking a highly skilled and motivated Data Scientist / Machine Learning Engineer to join our team. As a key member of our data science and machine learning team, you will play a crucial role in developing and implementing advanced analytics and machine learning models. The ideal candidate will have a strong background in data analysis, statistics, and machine learning algorithms.

Responsibilities:

Data Analysis:

Analyze large datasets to extract meaningful insights and patterns that contribute to informed decision-making.

Machine Learning Model Development:

Design, develop, and deploy machine learning models to solve complex business problems.

Feature Engineering:

Identify relevant features and perform data preprocessing to enhance model performance.

Model Evaluation:

Evaluate the performance of machine learning models using appropriate metrics and fine-tune them for optimal results.

Data Visualization:

Communicate complex findings and insights to both technical and non-technical stakeholders through data visualization techniques.

Collaboration:

Collaborate with cross-functional teams to integrate machine learning solutions into existing systems or develop new applications.

Continuous Learning:

Stay abreast of the latest developments in data science and machine learning, and apply cutting-edge techniques to real-world problems.

Requirements:

Education:

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.

Experience:

Proven experience as a Data Scientist or Machine Learning Engineer, with a strong portfolio of projects demonstrating practical applications of machine learning.

Programming Skills:

Proficiency in programming languages such as Python or R. Experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) is highly desirable.

Statistical Analysis:

Strong statistical analysis skills and the ability to derive actionable insights from data.

Problem-Solving:

Excellent problem-solving skills and the ability to approach business challenges with a data-driven mindset.

Communication:

Effective communication skills to convey complex technical concepts to both technical and non-technical stakeholders.

Collaboration:

A collaborative mindset with the ability to work in interdisciplinary teams.

If you are passionate about leveraging data to drive business decisions, and you have a strong background in data science and machine learning, we invite you to apply and contribute to our innovative and dynamic team. Join us in shaping the future through advanced analytics and machine learning applications.

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