Data Scientist

San Antonio, TX - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Overview of the Job:

The Data Scientist will create prediction models support corporate objectives and extract insights from complicated datasets using cutting-edge statistical and machine learning a cooperative creative setting you will work directly with product engineering and stakeholder teams to convert raw data into actionable intelligence and contribute to AI-driven solutions.

Principal Duties:

Gather clean and preprocess sizable datasets from various sources with the use of ETL pipelines Python and SQL.

Utilizing frameworks like scikit-learn TensorFlow or PyTorch create and implement machine learning models for anomaly detection categorization and forecasting.

To convey findings use exploratory data analysis (EDA) and produce visualizations using Tableau Power BI or Matplotlib.

- Establish measurements conduct A/B testing on hypotheses and refine algorithms for production in conjunction with cross-functional teams.

- Keep up with the latest developments in big data and AI/ML technologies and incorporate them into scalable solutions.

Methodologies are documented reports are produced and non-technical stakeholders are given insights.

Assure ethical AI techniques and compliance with data protection laws (such as the CCPA and GDPR).

Ability:

Proficiency in Python R or Julia as well as familiarity with ML frameworks and data manipulation tools like NumPy and Pandas.

Strong background in probability statistics and algorithms; familiarity with both supervised and unsupervised learning.

Proficiency in big data tools like Hadoop and Spark as well as SQL and NoSQL database queries.

Proficiency in data visualization and narrative techniques to effectively communicate intricate outcomes.

The ability to solve problems with an emphasis on practical applications.

It helps to be familiar with version control (Git) and cloud platforms (AWS Azure GCP).

Outstanding communication and teamwork abilities in hectic situations.

Experience and Education:

A bachelors degree in mathematics statistics computer science or a similar discipline is required; a masters or doctoral degree is recommended.

Three or more years of work experience in analytics data science or a related field preferably in technology or finance.

Projects or publications that showcase data modeling and analysis.

Work authorization in the USA is necessary; there is no sponsorship for a visa.

Annual Salary:

$110000 to $150000 base pay depending on competence location in the United States and experience. By offering competitive compensation we hope to draw in and keep outstanding individuals.

Pay and Benefits:

Up to 12% of base pay contingent on both individual and group performance.

RSUs or stock options for long-term growth involvement.

All-inclusive health dental and vision plans with affordable premiums from the start.

- 401(k) with an employer match of up to 5%.

Eleven paid holidays eighteen paid days off and an unlimited number of mental health days.

Budget each year for conventions certifications (like AWS ML) and courses.

Parental leave wellness stipends and flexible remote/hybrid work for employees in the United States.

- Employee discount programs transit benefits and home office setup allowance.

Overview of the Job: The Data Scientist will create prediction models support corporate objectives and extract insights from complicated datasets using cutting-edge statistical and machine learning a cooperative creative setting you will work directly with product engineering and stakeholder teams ...