Remote Data Scientist II (Python and Machine Learning)

Summary

Join our team as a Data Scientist II and contribute to building algorithms, data modeling, and data-driven solutions that solve customer business problems. As a part-time role (20 hours per week), you will partner with customers to perform statistical analysis and build machine learning models. The ideal candidate is proficient in Python, has extensive experience in NLP, and can develop custom data models, algorithms, and predictive models.

Requirements

• A minimum of 8 years of demonstrated related working experience
• Python Expertise: Extensive experience in Python, particularly in developing machine learning and NLP models
• Natural Language Processing (NLP): Extensive experience in developing NLP models for processing unstructured text data
• Data Manipulation: Strong expertise in numpy, pandas, and/or scipy for data analysis, particularly in the context of large datasets
• Machine Learning Expertise: 3+ years of experience in machine learning, with a strong track record of developing and deploying recommendation systems
• Cloud Platforms: Extensive experience with AWS, particularly in deploying and managing machine learning models using S3, EC2, Lambda, and SageMaker
• Problem-Solving: Analytical and problem-solving skills, with the ability to tackle complex technical challenges
• Excellent analytical skills, problem-solving skills, and attention to detail
• Proficiency with deep learning tools and at least one machine learning tool, such as Hadoop, Apache Spark, TensorFlow, scikit-learn, or cloud-provider equivalents
• Proven skills in statistics, data processing, or data annotation
• Proficiency with various types of databases, such as relational, key-value, document, graph
• Proficient in OLAP data storage technologies like data lakes, and data warehouses
• Proven ability to work with at least one machine learning tool like Hadoop, Apache Spark, TensorFlow, or scikit-learn, or cloud-provider equivalents
• Skilled in the usage of visualization tools and techniques like D3 Dash, ggplot, Tableau, or equivalents
• Proficient in cloud computing technologies such as Azure, Databricks, AWS, Google Cloud Platform
• Ability to view data and determine what questions to ask, what assumptions to make, what algorithms to use, and how to get the biggest impact from it
• Ability to understand and respond to customer needs and collaborate as part of a cross-functional team
• Experience working in an agile environment
• Ability to operate and manage work, strategically reason, build relationships, and influence others

Responsibilities

• Coaches and mentors others by example and through direct coaching on machine learning and artificial intelligence skills
• Takes initiative for their own growth through personal leadership
• Strengthens our Data Science community and practice
• Guides team on evaluating the customer’s needs, advising on both the benefits and risks of potential artificial intelligence
• Facilitates customer understanding of the impact of AI on their operating model and develops their skills in and comfort with machine learning solutions
• Develops custom data models, algorithms, and predictive models to perform multifaceted analysis
• Builds and maintains predictive models and machine learning algorithms from the ground up to solve real-world business challenges
• Stitches, calibrates, and optimizes sparse and noisy data across various data sources
• Collaborates with various stakeholders and teams of stakeholders to understand business problems, help define them into KPIs, and deliver insightful analysis in reports or visualizations
• Conducts regular, ad-hoc data and analysis needs to better understand customer behaviors
• Supports and guides teams in running growth programs and A/B tests by analyzing results and communicating findings and insights
• Understands, monitors, and collaborates with teams to ensure ongoing data quality
• Researches industry trends, advising the customer on applicable solutions and applying them to support their organizational needs
• Works with the customer and relevant stakeholders to understand the potential impacts on the customer and the broader community of any models that are in development
• Algorithm Design & Development: Lead the design and development of recommendation algorithms and predictive models that enhance various features across the MyCareer NJ platform
• NLP and Data Extraction: Develop and refine NLP models to accurately extract and categorize information from a wide range of text data sources, including job postings, resumes, labor market information, and educational content
• Data Manipulation & Analysis: Utilize numpy, pandas, and scripts for handling and analyzing large datasets
• Integration: Collaborate with backend engineers to integrate machine learning models into the platform’s FastAPI-based backend
• Cloud Deployment: Machine learning models on AWS, leveraging services like S3, EC2, Lambda, and SageMaker
• Performance Monitoring & Optimization
• Research & Implementation: Machine learning and NLP techniques to enhance the capabilities of MyCareer NJ, including exploring new ways to support users in their career development

Benefits

• Life-friendly schedules
• Family-friendly workplace
• We cover 100% of your premium for our medical HSA plan + the deductible portion of HSA contributions, 80% of your premium for our HMO or PPO plans, and offer competitive dependent coverage
• We cover 100% of dental and vision premiums for you and your dependents and offer medical and dependent care FSA options
• Life insurance, short- and long-term disability coverage, and legal planning and support insurance
• Tech, education / training, and wellness allowances
• Safe Harbor 401(k) plan with employer contributions (current match = 4%) and immediate vesting
• Referral bonus: Bring your friends! If someone you refer is hired, you’ll get a bonus of $6–12k!
• Total Pet Plan
• Employee Assistance Program
• Up 12 weeks of FMLA paid at 100%
• PTO is provided to team members as a lump sum allowance, not an accrual. PTO is prorated based on your start date (see table below) on a quarterly basis (with tenure-based increases), 8.75 days of sick leave, 11 federal holidays, their birthday (8 hours), up to 15 days for jury duty, and up to 3 days (24 hours) of bereavement leave per eligible instance