Senior Data Scientist

Tavant; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Tavant Technologies seeks a Senior Data Scientist to leverage advanced analytical techniques and machine learning to derive actionable insights from large datasets. You will build predictive models and collaborate across teams to implement data-driven solutions that enhance our offerings.

You will apply Python or R, ML frameworks, and statistical methods, while communicating findings to both technical and non-technical stakeholders. Master’s/PhD and energy industry exposure are preferred.

Qualifications

• Proficiency in Python or R and ML frameworks.
• Strong statistical analysis and data modeling knowledge.
• Experience with data visualization tools.

Responsibilities

• Develop and deploy ML models to solve business problems.
• Analyze large datasets to extract actionable insights.
• Collaborate with cross-functional teams to integrate data science solutions.

Skills

Python or R

ML frameworks

Statistics

Data visualization

Big data

SQL

Problem solving

Communication

Education

Master's or PhD in CS/Math/Stat

Tools

TensorFlow/PyTorch/Scikit-learn

Tableau/Power BI

Hadoop/Spark

Job description

Job Description:
Tavant Technologies is seeking a Senior Data Scientist. In this role, you will leverage advanced analytical techniques and machine learning methods to derive actionable insights from complex datasets. Your primary responsibilities will include developing predictive models, analyzing data to identify trends, and collaborating with cross-functional teams to implement data-driven solutions that enhance our client offerings.

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 Energy Sector.
• 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 Oil and Gas industry.
• Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Roles and Responsibilities

About the Role:
As a Senior Data Scientist at Tavant Technologies, you will utilize advanced analytical techniques to drive insights from large datasets. Your role will involve building predictive models and enhancing data-driven decision-making processes within the organization. You will collaborate with various teams to identify opportunities for leveraging data to optimize products and services.

You are Responsible for:

• 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.