Data Scientist

Aspen Grove Inc.; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Employer-matched retirement

Professional development

Job summary

Aspen Grove Inc. in San Jose, CA is seeking a Data Scientist to join our team on a full-time basis with a negotiable salary. You will analyze complex data, develop predictive models, and support business decisions in a collaborative environment.

The role requires a Master’s degree in Data Science or related field, strong Python/R/SQL skills, and experience with ML and data visualization. Competitive benefits include health insurance, retirement plans, and professional development opportunities.

Qualifications

• Master's degree in Data Science, Statistics, or related field.
• 3-5 years of experience in data science or related field.
• Experience with Python, R, and SQL is required.
• Knowledge of ML and data visualization tools is a plus.

Responsibilities

• Develop and implement data-driven solutions to complex business problems.
• Analyze large datasets to identify trends, patterns, and insights.
• Build and maintain predictive models to support decision-making processes.
• Collaborate with cross-functional teams to translate business requirements into data science solutions.
• Communicate findings and recommendations to stakeholders clearly.

Skills

Python

R

SQL

Machine Learning

Data Visualization

Communication

Collaboration

Education

Master's degree in Data Science/Statistics/related field

Bachelor's degree in CS/Statistics/Mathematics/related field

Tools

Hadoop

Spark

TensorFlow

PyTorch

Tableau

Power BI

Job description

Aspen Grove Inc. is seeking a Data Scientist to join our team in San Jose, CA. This is a full-time position with a negotiable salary.

As a Data Scientist, you will analyze and interpret complex data sets to identify trends and patterns. You will develop predictive models and algorithms to support business decisions.

You will work closely with cross-functional teams in a collaborative environment, fostering a culture of open communication and mutual respect. This dynamic setting encourages the sharing of ideas and the collective problem-solving that drives innovation. Our office is located in San Jose, CA, a vibrant city known for its diverse population and thriving tech industry. Here, you'll have the opportunity to contribute to a wide range of projects and initiatives, while also benefiting from a supportive and inclusive workplace culture.

The salary for this position is negotiable, allowing for a discussion between the employer and the candidate to reach a mutually agreeable figure. In addition to the competitive salary, the company offers comprehensive benefits, including health insurance that covers a wide range of medical services, retirement plans with employer matching contributions, and opportunities for professional development, such as workshops, training programs, and access to online learning platforms. These benefits aim to support the employee's overall well-being and career growth within the organization.

You should have a Master's degree in Data Science, Statistics, or a related field. Experience with Python, R, and SQL is required. Knowledge of machine learning and data visualization tools is a plus.

Responsibilities:

• Develop and implement data-driven solutions to complex business problems.
• Analyze large datasets to identify trends, patterns, and insights.
• Build and maintain predictive models to support decision-making processes.
• Collaborate with cross-functional teams to translate business requirements into data science solutions.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.
• Continuously explore and evaluate new data science techniques and tools.
• Mentor and train junior team members on data science best practices.
• Stay up-to-date with industry trends and advancements in data science.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3-5 years of experience in data science or a related field.
• Strong programming skills in Python and R.
• Proficiency in SQL and experience with big data technologies like Hadoop or Spark.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Knowledge of data visualization tools like Tableau or Power BI.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Benefits:

• health insurance that covers a wide range of medical services,
• retirement plans with employer matching contributions,
• opportunities for professional development, such as workshops, training programs, and access to online learning platforms.

Application deadline: November 23, 2026.