Ballard Spahr LLP

Overview
We are seeking a talented and motivated Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in data analysis, machine learning, and statistical modeling. As a Data Scientist, you will be responsible for extracting insights from complex datasets, developing predictive models, and implementing data-driven solutions to support business objectives. You will work closely with cross-functional teams to drive innovation and enhance decision-making processes.

Responsibilities

• Analyze large datasets to identify trends, patterns, and insights that inform business strategies.
• Develop and implement machine learning models using frameworks such as TensorFlow, Spark, and R.
• Conduct data mining and perform ETL (Extract, Transform, Load) processes to prepare data for analysis.
• Collaborate with engineering teams on database design and management to ensure data integrity and accessibility.
• Utilize programming languages such as Python, Java, C, and SQL for data manipulation and model deployment.
• Employ natural language processing techniques to analyze unstructured data sources.
• Work with big data technologies including Hadoop and AWS to manage large-scale datasets.
• Create visualizations and reports using tools like Looker to communicate findings effectively.
• Engage in model training and validation processes to enhance predictive accuracy.
• Stay updated with advancements in AI, quantum engineering, and analytics methodologies.

Skills

• Proficiency in programming languages: Python, R, Java, C
• Experience with machine learning frameworks: TensorFlow, Spark
• Strong understanding of unsupervised learning techniques
• Familiarity with ETL processes and tools such as Talend
• Knowledge of database design principles and SQL
• Experience with big data technologies: Hadoop
• Understanding of linked data concepts
• Proficient in analytics tools and techniques
• Ability to work with natural language processing applications
• Familiarity with Bash (Unix shell) scripting
• Knowledge of SAS for statistical analysis
• Experience in model deployment practices

Join us in leveraging the power of data to drive impactful decisions within our organization. We look forward to welcoming a passionate Data Scientist who is eager to contribute their expertise in this exciting field.

Job Type: Contract

Pay: $57.52 - $80.27 per hour

Ability to Commute:

• Glendale, CA 91201 (Required)

Ability to Relocate:

• Glendale, CA 91201: Relocate before starting work (Required)

Work Location: In person