Data Scientist

Variyasinc; United States; On-site; USD 90,000 - 120,000; Full time

Job summary

Variyasinc is seeking a skilled Data Scientist in the United States to drive business results through data insights. Successful candidates will analyze large datasets using advanced statistical tools and present findings with clear communication.

The ideal candidate will possess a Master's degree in a relevant field and demonstrate independence and teamwork in executing data-driven solutions. Proficiency in machine learning frameworks and analytics tools will be essential for impacting product development and marketing strategies.

Qualifications

• Master's degree in Computer Science, Statistics, Applied Math, or a related field.
• 3+ years practical experience with SAS, ETL, data processing, database programming, and data analytics.

Responsibilities

• Collect, clean, and preprocess data to ensure quality and reliability.
• Mine and analyze data to drive optimization and business strategies.
• Implement analytical models in production with collaboration.
• Devise algorithms for big-data stores; perform data and error analysis.
• Develop BI solutions to visualize data and support decisions.
• Coordinate with teams to implement models and monitor outcomes.

Skills

Analytical abilities

Team collaboration

Data manipulation (SQL, Python, R)

Interpersonal skills

Machine learning frameworks

Education

Master’s Degree in relevant field

Tools

SAS

ETL

Database programming

Job description

Job Description:

Variyas Global Solutions Inc. is currently hiring a Data Scientist who must have a proven ability to drive business results with their data‑based insights. As a data scientist, you’ll extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, to make it accessible to businesses. Once you’ve interpreted the data, you’ll present your results using clear and engaging language.

Roles & Responsibilities

• Collecting, cleaning, and pre‑processing data to ensure its quality and reliability.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Implement analytical models in production by collaborating with software developers and machine-learning engineers.
• Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
• Develop and implement BI solutions to visualize data and support business decision‑making.
• Coordinate with different functional teams to implement models and monitor outcomes.

Required Technical Skills

• Strong analytical and quantitative abilities.
• Self‑motivated and able to work as a team member.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Excellent interpersonal and communication skills.
• Understanding of machine learning frameworks, such as TensorFlow, PyTorch, or scikit‑learn.

Education & Experience

• Master’s Degree in Computer Science, Statistics, Applied Math or related field.
• 3+ years practical experience with SAS, ETL, data processing, database programming and data analytics.