H & R COMPUTER CONSULTING SERVICES

Intermediate Data Scientist

In this role you will build and deploy machine learning models, perform complex data analysis, and collaborate with teams to deliver data-driven insights. Responsibilities include preprocessing and managing large datasets, ensuring data integrity, and presenting findings to stakeholders.

Responsibilities:

• Build and deploy machine learning models that support key business decisions.
• Perform complex data analysis and predictive modeling using large datasets.
• Collaborate with cross-functional teams to deliver data-driven insights and solutions.
• Preprocess, clean, and manage large-scale datasets, ensuring data integrity.

• Present key findings and recommendations to internal and external stakeholders.

Qualifications:

• 3-5 years of experience in data science or analytics roles.
• Strong understanding of machine learning algorithms, including supervised and unsupervised methods.
• Experience with Python, R, SQL, and familiarity with cloud-based platforms (AWS, GCP, or Azure).
• Proficient in using data visualization tools and libraries like Tableau, PowerBI, or Matplotlib.

• Excellent problem-solving skills with a focus on statistical modeling and data accuracy.

Preferred Experience:

• Experience working with big data technologies such as Hadoop or Spark.
• Familiarity with deploying machine learning models in production environments.

• Strong understanding of SQL and relational databases for efficient data querying.

Benefits:

• 401(k)

• 401(k) matching
• Dental insurance
• Employee assistance program
• Employee discount
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Paid time off
• Parental leave
• Professional development assistance
• Referral program
• Relocation assistance

• Vision insurance

Schedule:

• 8-hour shift

• Monday to Friday

• Weekends as needed

Application Question(s):

• Are you a U.S. Citizen?

• Are you available to work full-time with a flexible schedule, including weekends as needed.
• Do you have a Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field?

• How proficient are you in working with Python, R, SQL, and cloud-based platforms such as AWS, GCP, or Azure? Can you provide examples of your work using these tools?