Role: Senior Data Scientist
Location: Texas City, TX (Hybrid - 3 days a week)
Duration: Full Time / Direct Hire
Mandatory Skills: Data Science, Deep Learning, Machine Learning, Agentic AI, Retrieval Augmented Generation, Large Language Model
Desirable Skill: Data Analysis, Machine Learning Algorithms, Deep Learning Frameworks, Lang chain, AWS Bedrock, AWS
Key Responsibilities:
- Develop and implement machine learning algorithms to solve complex business problems.
- Analyze large datasets to generate insights and inform decision-making processes.
- Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
- Communicate findings and recommendations effectively to technical and non-technical stakeholders.
- Stay current with the latest advancements in data science and machine learning technologies.
Skills and Tools Required:
- Strong proficiency in programming languages such as Python or R.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of statistical analysis techniques and data modeling.
- Proficiency in data visualization tools (e.g., Tableau, Power BI).
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Ability to work with databases and query large datasets using SQL.
- Strong problem-solving skills and the ability to think critically.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- A master''s or Ph.D. in computer science, statistics, mathematics, or a related field.
- Experience in the tech industry or with enterprise-level software products.
- Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud).
Roles & Responsibilities
Developing and deploying machine learning models to solve business problems.
Analyzing complex datasets to extract actionable insights that contribute to product development.
Collaborating with cross-functional teams to integrate data science solutions into existing products and services.
Providing mentorship and guidance to junior data scientists and fostering a collaborative environment.
To succeed in this role – you should have the following:
Strong experience in machine learning algorithms and statistical modeling techniques.
Proficiency in programming languages such as Python or R, along with data manipulation libraries.
Experience with big data technologies like Hadoop, Spark, or similar platforms.
Excellent analytical skills with the ability to communicate complex findings to non-technical stakeholders.
A degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.
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