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Data Scientist

1 month ago

Baltimore, United States Tays, Inc. Full time
At TAYS, every team member is vital. We recognize and celebrate diverse insights, believing they fuel our innovative spirit. We are not just tech-savvy; we are people-centric. You will have a voice. Your unique perspective will help us to solve complex problems, and we welcome your ideas. Here, you will collaborate closely with our clients, forging lasting relationships. We are on a quest for the brightest minds who relish technical challenges. If you are ready to contribute to our vibrant high-tech community, high touch let's uncover possibilities together

Opportunity:

TAYS is seeking a Data Scientist to join its Data Analytics team. The Data Scientist will play a pivotal role in extracting, cleaning, and analyzing large datasets to derive patterns, trends, and correlations. Using advanced analytics and statistical techniques, you will interpret complex data and provide meaningful insights. This position involves developing and implementing predictive models and algorithms to enhance decision-making processes.

This is a permanent, W2 position and will consist of a hybrid schedule. The Data Scientist must reside within 2 hours of Woodlawn, MD.

Primary Responsibilities:
  • Data Analysis: Extract, clean, and analyze large datasets to identify patterns, trends, and correlations.
  • Use statistical techniques and advanced analytics to interpret complex data and provide meaningful insights.
  • Working Knowledge of SaaS: Experience utilizing Software as a Service (SaaS) platforms for data analytics, machine learning model deployment, and data management, with a focus on leveraging cloud-based tools to streamline workflows and enhance data processing efficiency.
  • Build files to merge case data across different data sources and systems, which have slightly different granularities and unique identifiers.
  • Predictive Modeling: Develop and implement predictive models and algorithms using machine learning techniques. Apply data mining, statistical modeling, and optimization algorithms to solve business problems and improve processes.
  • Predict the following: First, whether the case will be an affirmance/dismissal or a remand/reversal; Second, in the case of a remand/reversal, whether it will be a remand or a reversal; Third, in the case of a remand, whether it will be a voluntary or court-ordered remand.
  • Data Visualization: Communicate findings and insights effectively through visualizations, reports, and presentations. Present complex data in a clear and concise manner to both technical and non-technical stakeholders.
  • Collaborative Problem Solving: Work closely with cross-functional teams to understand business objectives and define analytical requirements. Collaborate with data engineers and software developers to ensure smooth integration of data science solutions into existing systems.
  • Continuous Learning: Stay up to date with the latest advancements in data science, machine learning, and statistical modeling techniques. Explore and evaluate new tools and technologies to enhance the effectiveness of data analysis and predictive modeling.
Minimum Qualifications:
  • A bachelor’s or master’s degree in computer science, statistics, mathematics, or a related field.
  • Proficiency in programming languages such as Python or R.
  • Experience with data manipulation, statistical analysis, and machine learning libraries (e.g., Pandas, NumPy, SciPy, scikit-learn)
  • Familiarity with SQL, data visualization tools (e.g., Tableau, Power BI), and big data frameworks
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
  • Experience in experimental design, hypothesis testing, and statistical modeling
  • The ability to obtain/maintain a Public Trust.
Desired Qualifications:
  • A Ph.D. in a relevant field is a plus.
  • An active Public Trust or higher
Why TAYS is the Perfect Place for You:
  • Flexibility: Enjoy a work-life harmony with our flexible working options.
  • Remote Work: While our heart is in Baltimore, most of our roles support remote work.
  • Benefits: Competitive packages, including tuition reimbursement.
  • Leisure: Generous PTO, including 11 federal holidays and 2 floating holidays.
  • Team Events: Quarterly gatherings for team bonding or community service.
  • Military Friendly: We value the dedication and discipline of veterans and service members and urge them to apply.


Commitment to Diversity:

TAYS Inc. is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.