Data Scientist

Onyx Meadows Group; Houston (TX); On-site; USD 110,000 - 147,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan

Tuition reimbursement

Online courses & workshops

Job summary

Onyx Meadows Group, a Houston-based energy tech firm, is seeking a Data Scientist to analyze complex data sets, develop predictive models, and create data-driven solutions. You will collaborate with cross-functional teams to implement data strategies in a dynamic, growth-oriented environment.

The role requires a Master’s in Data Science or related field, 3+ years in data science, and proficiency in Python, R, and SQL. Experience with Hadoop/Spark/Hive and energy sector knowledge are a plus.

Qualifications

• Master's degree in Data Science, Statistics, or a related field.
• 3+ years of experience in data science with emphasis on machine learning and statistical modeling.
• Proficiency with Python, R, and SQL; experience with big data technologies is a plus.
• Experience in energy industry is a plus.

Responsibilities

• Develop and implement data-driven solutions for energy sector problems.
• Analyze large datasets to identify trends and insights.
• Build predictive models to forecast energy consumption and production.
• Collaborate with cross-functional teams to translate data insights into actionable strategies.
• Create visualizations and dashboards for stakeholders.
• Stay up-to-date with advances in data science and ML.
• Mentor junior team members on best practices in data science.
• Work with engineers and domain experts to ensure model accuracy.

Skills

Problem-solving

Stakeholder communication

Education

Master's degree in Data Science/Statistics

Bachelor's degree in CS/Statistics/Mathematics

Tools

Python

R

SQL

Hadoop

Spark

Hive

Job description

Onyx Meadows Group, a Houston-based energy tech firm, seeks a Data Scientist to join our team. This full-time position offers a salary range of $110,000 to $146,787.

As a Data Scientist, you will analyze complex data sets, develop predictive models, and create data-driven solutions. You will also collaborate with cross-functional teams to implement data strategies.

You will work in a collaborative environment with a team of data scientists and engineers in the Houston, TX office. The workplace is dynamic and innovative, fostering a culture of continuous learning and growth.

The salary range for this position is between $110,000 and $146,787 per year, providing a competitive and attractive compensation package. In addition to the base salary, employees can also benefit from comprehensive health insurance plans that cover medical, dental, and vision care. The company offers a robust retirement plan, including 401(k) contributions, to help employees save for their future. Furthermore, professional development opportunities are available, such as tuition reimbursement and access to online courses and workshops, to support the growth and advancement of employees in their careers.

To excel in this role, you must have a Master's degree in Data Science, Statistics, or a related field. You should have experience with Python, R, and SQL. Strong problem-solving skills and a passion for the energy industry are essential.

Responsibilities:

• Develop and implement data-driven solutions to complex problems in the energy sector.
• Analyze large datasets to identify trends, patterns, and insights.
• Build and maintain predictive models to forecast energy consumption and production.
• Collaborate with cross-functional teams to translate data insights into actionable strategies.
• Create visualizations and dashboards to communicate findings to stakeholders.
• Stay up-to-date with the latest advancements in data science and machine learning.
• Mentor and train junior team members on data science best practices.
• Work closely with engineers and domain experts to ensure the accuracy and relevance of data models.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience in data science, with a strong background in machine learning and statistical modeling.
• Proficiency in Python, R, and SQL.
• Experience with big data technologies such as Hadoop, Spark, or Hive.
• Strong problem-solving skills and the ability to communicate complex concepts to non-technical stakeholders.
• Experience working in the energy industry is a plus.
• Master's degree in a related field or relevant certifications (e.g., Certified Data Scientist, AWS Certified Machine Learning) is a plus.
• Passion for data and a drive to make a difference in the energy sector.