What are the responsibilities and job description for the Data Scientist position at Pinnacle Software Solutions?
Job Details
Position: Data Scientist
Location: Hybrid Jersey City, NJ (Locals Only)
Duration: Contract to Hire
Interview Type: 2 Rounds
Position Summary:
We are seeking a skilled and experienced Data Scientist to join our team. The ideal candidate will have a strong background in data analytics, statistical modeling, and machine learning. This role will require you to work closely with cross-functional teams, leveraging data to drive business decisions and strategies. You will be tasked with handling large datasets, developing models, and visualizing insights to inform stakeholders.
Key Responsibilities:
- Work with large datasets to extract meaningful insights and drive data-driven decision-making.
- Apply statistical analysis and machine learning models to solve business problems.
- Develop and implement machine learning algorithms to improve operational efficiency and predict key business metrics.
- Collaborate with cross-functional teams, including product, marketing, and engineering, to define and meet business goals.
- Visualize data using appropriate data visualization tools and communicate findings to non-technical stakeholders.
- Maintain and optimize SQL queries in Snowflake to extract and manipulate data for analysis.
- Support the development and deployment of machine learning models and contribute to the end-to-end data pipeline.
- Stay up-to-date with the latest industry trends and technologies in data science, machine learning, and data visualization.
Mandatory Skills and Qualifications:
- Minimum 5 years of related experience in data science, analytics, or a similar role.
- Bachelor s degree or equivalent experience in a related field (e.g., Data Science, Computer Science, Mathematics, Engineering).
- Strong proficiency in SQL (experience with Snowflake preferred).
- Deep understanding of data analytics and statistical methods (e.g., hypothesis testing, regression analysis, etc.).
- Proven experience or education in machine learning techniques (e.g., supervised and unsupervised learning, deep learning).
- Experience in data visualization, with expertise in tools such as Tableau, Power BI, or similar.
- Strong communication skills able to effectively communicate technical information to non-technical team members.
- Ability to foster a culture of honesty, openness, and trust in collaborative team environments.
- Knowledge of capital markets or experience working with financial data is a plus.
Preferred Skills:
- Familiarity with Python or R for machine learning and data manipulation.
- Experience working in cloud environments such as AWS, Azure, or Google Cloud.
- Exposure to big data tools like Hadoop, Spark, or similar.
- Ability to work in an Agile development environment.
Behavioral Competencies:
- Problem-Solving: Ability to think critically and find innovative solutions to complex data challenges.
- Collaboration: Proven ability to work collaboratively with diverse teams, fostering open communication.
- Adaptability: Comfortable with ambiguity and capable of adjusting quickly to changing project requirements.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
