Senior Data Scientist at Lawrence Harvey, Massachusetts, United States (Remote)

A Senior Data Scientist is responsible for leading and overseeing complex data science projects, leveraging advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making within an organization. Here are some key responsibilities and activities of a Senior Data Scientist:

  1. Project Leadership: Senior Data Scientists often lead and manage data science projects from end to end. This includes understanding project requirements, defining objectives, designing analytical approaches, and guiding the team through project execution.
  2. Advanced Data Analysis: They perform advanced data analysis and modeling tasks, utilizing statistical techniques, machine learning algorithms, and predictive modeling to uncover patterns, trends, and relationships within the data.
  3. Model Development and Deployment: Senior Data Scientists are responsible for developing and implementing complex statistical and machine learning models. This involves selecting appropriate modeling techniques, conducting feature engineering, fine-tuning model parameters, and evaluating model performance.
  4. Data Exploration and Visualization: They explore and analyze large and complex datasets, identifying meaningful insights and visualizing findings to communicate them effectively to stakeholders. This involves using data visualization tools and techniques to present complex information in a clear and understandable manner.
  5. Strategy and Decision-Making: Senior Data Scientists play a crucial role in shaping the organization’s data strategy. They collaborate with business stakeholders, understand their needs and goals, and provide data-driven recommendations to support strategic decision-making and optimize business outcomes.
  6. Collaboration and Mentoring: They collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. Senior Data Scientists provide technical guidance and mentorship to junior data scientists, helping them develop their skills and expertise.
  7. Research and Innovation: Staying updated with the latest advancements in the field of data science is essential. Senior Data Scientists actively engage in research, explore new methodologies, algorithms, and technologies, and propose innovative solutions to enhance data science practices within the organization.
  8. Communication and Presentation: Senior Data Scientists effectively communicate complex technical concepts and analytical findings to non-technical stakeholders. They translate data insights into actionable recommendations and present them in a clear and compelling manner to influence decision-making across the organization.
  9. Continuous Learning: As a senior practitioner, Senior Data Scientists have a strong commitment to continuous learning. They stay updated with the latest tools, techniques, and research publications, and actively seek opportunities to expand their knowledge and expertise.

Overall, a Senior Data Scientist plays a critical role in driving data-driven strategies, leading complex data science projects, and providing valuable insights to support business decision-making.

About the job

Senior Data Scientist

Our client is an exciting CleanTech start up based in Massachusetts (MA). They are leaders in energy, battery storage systems.

Senior Data Scientist responsibilities;

  • Work closely with cross-functional teams, data scientists, and DevOps engineers to deliver a scalable marketable data products in the BESS industry.
  • Architect, develop, deploy, and maintain scalable AI/ML solutions including the optimization of data queries with SQL database, code refactoring, shared library usage, and documentation of process and solution artifacts.
  • Implement metrics to verify model and algorithm effectiveness
  • Automate model training, testing and deployment and ensure proper code documentation
  • Keep up with emerging trends in ML, Deep Learning (DL) and Natural Language Processing (NLP)

Senior Data Scientist experience;

  • 3+ years Machine Learning, ideally within CleanTech
  • Knowledge in some of these: Deep learning, Neural networks, GLM/Regression, Random Forest, Boosting, Trees, Bayesian Optimization, etc.
  • Matlab/Simulink
  • Proficient in Python and/or R scripting
  • Expertise in ML/DL frameworks like Pytorch, TensorFlow, Keras, Scikit-learn/Caret

Role: Senior Data Scientist

Location: USA (Remote) some travel to MA

Package: $150-170k + Bonus, Equity, Benefits