About us

Triple-S Steel is a general line service center with special emphasis in the construction markets. Our roots are in Houston, but over the last 50 years our business has taken us throughout North America, Central and South America and Asia. From a small family retail operation, our business has grown to where we sell over 500,000 tons per year. Our family of companies include: Beshert Steel, Tube Supply, and Intsel Steel to name a few. But we haven't forgotten where we came from or that we're still a family business. While we may not know each colleague by name, our founding principles remain the same—we take care of our employees like family.

Job Summary:

Our company is seeking to fill a Data Scientist position that will work on-site and be responsible for conducting research and compiling data from various sources in order to make recommendations and predictions. As a Data Scientist, you will work directly with the executive staff to develop analytical solutions for the organization. The ideal candidate has previous experience with SQL and statistical software packages (Python, R, SAS, Java, C++, etc.), data mining and statistical analysis, and utilizing theoretical approaches for experimentation.

Responsibilities:

• Conducts statistical analyses to develop strategies.
• Builds predictive models and machine-learning algorithms.
• Identifies data patterns and trends.
• Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Proposes solutions and strategies to business challenges.
• Analyzes problems and determines root causes.
• Presents information using data visualization techniques.
• Develops methodology and processes for prioritization and scheduling of projects.
• Documents all processes and research.

Qualifications

Education and Experience:

• Bachelor’s degree in computer science, statistics, applied math or related field required. Master’s degree preferred.
• 5-7 years of professional experience
• Extensive background in data mining and statistical analysis.
• At least two years’ experience with SQL and statistical software packages (Python, R, SAS, Java, C++, etc.) required.
• Experience using business intelligence tools and data frameworks.

Required Skills/Abilities:

• Advanced analytical knowledge of data
• Conducting big data analysis
• Data conditioning
• Programming advanced computing
• Developing algorithms
• Developing software and data models
• Executing predictive analytics
• Excellent verbal and written communication skills.
• Excellent organizational skills and attention to detail.
• Able to multitask, prioritize, and manage time effectively.
• Strong math skills.
• Problem-solving aptitude.

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• Must be able to lift up to 15 pounds at times.

A Few Reasons Why You Might Love Us

• Our values: Love of God, Love of Family, Love of Others, Love of Country, Work Hard, Speak the Truth, Show Grace, Be Grateful, Give Back
• You are looking for stability, longevity and a long-term career.
• You would be joining a tightknit, supportive team that is eager to train and develop you.
• You want to work for a Top Private Company. In 2022, Triple-S Steel made the top 10 of the Houston Chronicle 100's list of top private companies, and top 13 of the Metal Center News 50's list of metal service centers.
• You get the benefits of being part of a 1600+ employees and growing company, with a family-oriented business culture.
• You will have the opportunity to have direct impact and affect change within the company.
• You will have job security. We pride ourselves for providing stability and even growth during tough economic times.
• We have been in business for 60+ years and continue growing. We currently have 50+ locations across the United States. In the last 3 years, we have acquired 10+ new locations.

And a few reasons why you may not like working for us or won’t succeed:

• Adaptability and flexibility are not your thing.
• You do not work well in a fast-paced work environment.
• You expect to be told what to do.
• You are not a people person or collaborative team player.
• You do not want to work in the office. (The CEO and senior executives are in the office).

Job Type: Full-time

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Referral program
• Tuition reimbursement
• Vision insurance

Schedule:

• 8 hour shift
• Monday to Friday
• No weekends

Supplemental pay types:

• Bonus pay

Ability to commute/relocate:

• Houston, TX 77026: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• Describe your experience using business intelligence tools and data frameworks.
• What are your salary expectations?

Education:

• Bachelor's (Required)

Experience:

• SQL Statistical software (Python, R, SAS, Java, C++, etc.): 2 years (Required)
• professional working: 5 years (Required)

Work Location: One location

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