Data Scientist

Granite Premier Corp.; Baltimore (MD); On-site; USD 130,000 - 174,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Tuition reimbursement

Bonuses

Gym discounts

Job summary

Granite Premier Corp. in Baltimore, MD is seeking a Data Scientist to turn data into strategic insights. The role involves developing models, analyzing large datasets, and collaborating with cross-functional teams to improve business operations.

The ideal candidate holds a master's in data science or related field, with strong Python, R, and SQL skills, plus experience in data visualization with Tableau or Power BI. Excellent communication and problem-solving abilities are essential.

Qualifications

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

Responsibilities

• Develop and implement data-driven solutions to support business objectives.
• Analyze large datasets to identify trends and insights.
• Create predictive models and machine learning algorithms to forecast outcomes and optimize processes.
• Collaborate with stakeholders to translate data insights into actionable strategies.
• Communicate findings to technical and non-technical audiences.
• Continuously monitor and improve data models and processes.

Skills

Python

R

SQL

Data Visualization

Education

Master's degree in Data Science or related field

Bachelor's degree in Computer Science/Statistics/Mathematics

Tools

Tableau

Power BI

Git

Job description

Granite Premier Corp., a prominent financial services company, is hiring a Data Scientist in Baltimore, MD. This full-time position offers a salary range of $130,000 to $174,098. The role involves using data to inform strategic decisions and improve business operations.

As a Data Scientist, you will collaborate with various teams to create and deploy data-driven solutions. Your work will ensure that our clients receive high-quality service and support. You will analyze data, develop models, and present findings to stakeholders.

You will be part of a team in Baltimore, MD, working in a professional environment. The city offers a vibrant culture and numerous amenities. The workplace is equipped with modern tools and resources to support your work.

The salary range for this position is $130,000 to $174,098, reflecting a competitive compensation package that acknowledges the responsibilities and expertise required in the role.

• Benefits include comprehensive health insurance coverage, which may extend to medical, dental, and vision plans, as well as wellness programs to support employee health.
• Retirement plans, such as a 401(k) or pension scheme, are also provided, with the company often matching contributions to encourage long-term financial security.
• Professional development opportunities are available, including tuition reimbursement for courses or certifications relevant to the job, and access to training programs and workshops.
• Additional perks may be available based on performance, such as bonuses, profit-sharing, or flexible work arrangements, as well as access to company resources like gym memberships or discounts on products and services.
• These benefits are designed to attract and retain top talent, fostering a motivated and engaged workforce.

To excel in this role, 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 algorithms and data visualization tools is essential.

What You Will Do:

• Develop and implement data-driven solutions to support business objectives.
• Analyze large datasets to identify trends, patterns, and insights.
• Create predictive models and machine learning algorithms to forecast outcomes and optimize processes.
• Collaborate with stakeholders to translate data insights into actionable strategies.
• Communicate findings and recommendations to both technical and non-technical audiences.
• Continuously monitor and improve data models and processes.

What You Bring:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in data science or a similar role.
• Proficiency in programming languages such as Python or R.
• Experience with data visualization tools like Tableau or Power BI.
• Strong understanding of statistical methods and machine learning techniques.
• Excellent communication and interpersonal skills.