What are the responsibilities and job description for the Data Science & Analytics Specialist position at Thinking Minds Inc.?
Job Details
Job Summary:
Location: Madison WI
Experience: Minimum 3 years
Job Type: Permanent
Ideal Candidate Should Have:
Bachelor's or advanced degree in finance, business, engineering, computer science, data science, or a related field.
3 years of experience in data science, data analytics, or investment analysis.
Proficiency in Python, SQL, or R for data manipulation, analysis, and model development.
Experience with data quality frameworks and conducting data validation.
Knowledge of machine learning techniques such as regression, classification, and clustering.
Hands-on experience with machine learning techniques (Azure, AWS) and data warehousing technologies (Snowflake).
Familiarity with interactive data visualization tools like Power BI, Streamlit.
Understanding of CI/CD deployment techniques for automated reporting.
Strong communication skills to present data insights to technical and non-technical stakeholders.
Interest or experience in investment management, quantitative finance, and technology. Progress toward CFA is a plus.
Job Description:
Thinking Minds Inc.'s client, a leading investment organization, is seeking a Data Science & Analytics Professional to drive data-driven decision-making through advanced analytics and modeling. This role bridges the gap between investment teams and technical infrastructure, ensuring the seamless integration of data solutions into investment strategies.
Key Responsibilities:
Develop and deploy data models using machine learning techniques such as regression, classification, and clustering.
Utilize Python, SQL, or R for data manipulation, analysis, and automation of key investment insights.
Create interactive visualizations using tools like Power BI or Streamlit to communicate insights effectively.
Implement data quality frameworks and conduct data validation to ensure accuracy.
Act as a liaison between investment teams and technology departments to enhance business processes.
Deploy data solutions in cloud environments such as Azure or AWS to optimize performance.
Utilize Snowflake or similar data warehousing technologies to support analytics initiatives.
Automate reporting processes using CI/CD techniques for increased efficiency.
Maintain clear documentation, follow industry best practices, and ensure compliance with internal policies.
This is a fantastic opportunity for a data-driven professional passionate about leveraging analytics to support sophisticated investment strategies. If you thrive in a collaborative, innovative environment, this role offers significant career growth in the investment and financial analytics domain
Location: Madison WI
Experience: Minimum 3 years
Job Type: Permanent
Ideal Candidate Should Have:
Bachelor's or advanced degree in finance, business, engineering, computer science, data science, or a related field.
3 years of experience in data science, data analytics, or investment analysis.
Proficiency in Python, SQL, or R for data manipulation, analysis, and model development.
Experience with data quality frameworks and conducting data validation.
Knowledge of machine learning techniques such as regression, classification, and clustering.
Hands-on experience with machine learning techniques (Azure, AWS) and data warehousing technologies (Snowflake).
Familiarity with interactive data visualization tools like Power BI, Streamlit.
Understanding of CI/CD deployment techniques for automated reporting.
Strong communication skills to present data insights to technical and non-technical stakeholders.
Interest or experience in investment management, quantitative finance, and technology. Progress toward CFA is a plus.
Job Description:
Thinking Minds Inc.'s client, a leading investment organization, is seeking a Data Science & Analytics Professional to drive data-driven decision-making through advanced analytics and modeling. This role bridges the gap between investment teams and technical infrastructure, ensuring the seamless integration of data solutions into investment strategies.
Key Responsibilities:
Develop and deploy data models using machine learning techniques such as regression, classification, and clustering.
Utilize Python, SQL, or R for data manipulation, analysis, and automation of key investment insights.
Create interactive visualizations using tools like Power BI or Streamlit to communicate insights effectively.
Implement data quality frameworks and conduct data validation to ensure accuracy.
Act as a liaison between investment teams and technology departments to enhance business processes.
Deploy data solutions in cloud environments such as Azure or AWS to optimize performance.
Utilize Snowflake or similar data warehousing technologies to support analytics initiatives.
Automate reporting processes using CI/CD techniques for increased efficiency.
Maintain clear documentation, follow industry best practices, and ensure compliance with internal policies.
This is a fantastic opportunity for a data-driven professional passionate about leveraging analytics to support sophisticated investment strategies. If you thrive in a collaborative, innovative environment, this role offers significant career growth in the investment and financial analytics domain
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.
