Technical Lead Data Science

TechDigital Group; San Antonio (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a talented Data Scientist to drive analytical solutions through advanced modeling techniques. In this role, you'll gather and manipulate both structured and unstructured data, applying your expertise in machine learning and deep learning to create impactful models. You'll work with cutting-edge technologies like TensorFlow and PyTorch, ensuring the implementation and governance of models. Join a dynamic environment where your contributions will shape data-driven decisions and enhance business strategies. If you're passionate about data science and eager to make a difference, this opportunity is perfect for you.

Qualifications

• Proven experience in developing models using various algorithms.
• Experience in building and implementing Timeseries and forecasting models.

Responsibilities

• Develop complex analytic algorithms and separate functionality into modules.
• Build ML workflows and implement governance and monitoring.

Skills

Python

R

SQL

Machine Learning

Deep Learning

Data Analysis

Tools

TensorFlow

Keras

PyTorch

NumPy

SciPy

SciKit-learn

Job description

Detailed Job Description:

• Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
• Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs
• Proven experience in developing models using Regression, Decision trees, Bayesian networks, Random Forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms.
• Proven experience in building and implementing Timeseries and forecasting models.
• Experience in Deep Learning model development using Tensorflow, Keras, PyTorch
• Hands on experience in building ML workflows
• Experience in Model implementation, Governance and monitoring.
• Responsibilities include: Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality and separate it into working modules.
• Working experience in Python, R and SQL
• Experience in Python data science packages such as numPy, SciPy and SciKit-learn