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Manager Data Science Law Jobs in Florida (NOW HIRING)

STEMboard

Data Scientist - TS/SCI

Tampa, FL · On-site

Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.

STEMboard

Data Scientist - TS/SCI

Tampa, FL

Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.

Altamira Technologies Corp.

Data Scientist

Tampa, FL · On-site

Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.

Royal Caribbean Group

Sr. Analyst, Data Science

Miami, FL · On-site

$82K - $103K/yr

... Manager, Data Analytics & AI . Position is onsite and based in Miami, FL The Data Architect is ... law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate ...

Pwc

AIT - AI Data Scientist Senior Associate

Tampa, FL · On-site

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in ...

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All JobsData Science Law JobsManager Data Science Law JobsManager Data Science Law Jobs in Florida

Manager Data Science Law information

What is the difference between Manager Data Science Law vs Data Scientist Law?

AspectManager Data Science LawData Scientist Law
Required CredentialsBachelor's or Master's in Data Science, Law, or related fields; leadership experienceBachelor's or Master's in Data Science, Law, or related fields; technical skills
Work EnvironmentTeam leadership, project management, strategic planningData analysis, modeling, research, coding
Employer & Industry UsageLegal firms, corporate legal departments, government agenciesLegal tech companies, law firms, corporate legal teams

The main difference is that the Manager Data Science Law oversees teams and projects, focusing on strategic leadership, while the Data Scientist Law primarily conducts technical data analysis and modeling. Both roles require strong knowledge of law and data science, but the manager position emphasizes leadership and management skills.

What are the most commonly searched types of Data Science Law jobs in Florida?

The most popular types of Data Science Law jobs in Florida are:

Manager Data Science Law jobs near you

Data Scientist - TS/SCI

STEMboard

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

STEMBoard is seeking a Data Scientist with knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. The data scientist work with a team of data scientists and engineers that collect and arrange data in a form that is useful for analytics. A knowledge of machine learning is also desired to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.
Responsibilities:
A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.
Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.
  • Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
  • Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
  • Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data.
  • Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
  • Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
  • Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
  • Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.
  • plements cloud agnostic data toolsets, Mentors' data science teams on best data practices, Implements OCI complaint containers, AI/ML pipelines, related storage solutions, and infrastructure as code.

Requirements:
  • Experience: 1+ years of experience with software engineering, data science or related experience.
  • Education: Bachelors or degree in STEM with a preference towards Data Science, Computer Science, or Software Engineering.
  • Tools: Proficient with one or more programming languages (Java, C++, Python, R, etc.)
  • Security Clearance: minimum of SECRET level
  • Proficient in Agile Development and Git Operations.
  • Demonstrated experience applying data science methods to real-world data problems.

Benefits:
  • Healthcare, Vision, and Dental Insurance
  • 20 Days of PTO
  • Wellness Hours
  • 401K Matching
  • Training/Certification Reimbursement
  • Short term/Long term disability
  • Parental/Maternity Leave
  • Military Leave
  • Life Insurance

STEMBoard is committed to hiring and retaining a diverse workforce. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Selected applicant will be subject to a background investigation. STEMBoard is an Equal Opportunity/Affirmative Action employer.

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