we are seeking a Senior Data Scientist to join our Innovation Data Science team to develop cutting-edge data products in its industry-leading B2B sales and marketing intelligence platform. If you are a visionary data scientist who thrives on transforming data into high impact customer-facing applications, this is an exciting opportunity to help propel our business to new heights.
What will your job look like:
Serve as an authority within the Data Scientists team, crafting use cases and solutions for NLP/Generative AI/ML.
Integrate closely with business leaders as a trusted and influential contributor, to understand their needs and advise on the right AI/ML-driven solutions, ensuring that Data Science outputs achieve maximum impact.
Identify key signals that drive a user’s next best action in order to optimize sales outcomes using advanced probability, statistics, predictive performance, and ML/RL.
Design and implement state-of-the-art models to help our customers in achieving their goals of identifying high-intent companies and contacts, optimizing customer engagement and conversion rates over time.
Build innovative new AI solutions, enhance existing models, drive continuous improvement and keep us ahead of industry trends. Promote a culture of continuous learning and knowledge sharing within the team.
Partner with ML engineers to review and co-optimize technical designs. Support the productionization and deployment of data science models and pipelines, ensuring scalability, reliability, and efficiency in real-world applications.
What will your job look like:
Serve as an authority within the Data Scientists team, crafting use cases and solutions for NLP/Generative AI/ML.
Integrate closely with business leaders as a trusted and influential contributor, to understand their needs and advise on the right AI/ML-driven solutions, ensuring that Data Science outputs achieve maximum impact.
Identify key signals that drive a user’s next best action in order to optimize sales outcomes using advanced probability, statistics, predictive performance, and ML/RL.
Design and implement state-of-the-art models to help our customers in achieving their goals of identifying high-intent companies and contacts, optimizing customer engagement and conversion rates over time.
Build innovative new AI solutions, enhance existing models, drive continuous improvement and keep us ahead of industry trends. Promote a culture of continuous learning and knowledge sharing within the team.
Partner with ML engineers to review and co-optimize technical designs. Support the productionization and deployment of data science models and pipelines, ensuring scalability, reliability, and efficiency in real-world applications.
Requirements:
B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics or other equivalent fields..
5 years as a Data Scientist – a strong background in NLP/Generative AI/ML concepts and models.
Skilled in continuous model evaluation and adaptation to evolving user preferences and behavior patterns based on real-world feedback.
Data-Centric Mindset: Be willing to explore the data and have it guide you to the best solution. Able to utilize a diverse range of advanced statistical and analytic techniques to inform development priorities and decision-making processes.
Languages and Compute Frameworks: Able to write readable, testable, maintainable and extensible code in Python, SQL, and Spark.
Production ML: Experience developing data preparation, model training and inference pipelines using cloud-managed tools like Dataproc, EMR, Airflow, vector databases (FAISS, Pinecone), or equivalent.
ML Frameworks: Experience w/ PyTorch, XGBoost, SparkML, model registries (Hugging Face), LLM APIs, etc.
Experience in leading data science projects from idea to production in various domains and using various NLP/ML solutions
Communication: Able to navigate large projects with multiple collaborators. Excellent cross-functional and verbal communication skills, enabling seamless communication with business partners and stakeholders.
Theory: Understanding of latest deep learning architectures and when to apply a given pre-trained model. Experience with techniques like prompt engineering, fine tuning, reinforcement learning w/ human feedback, model distillation and model compression. Up-to-date on recent advances in the LLM space.
B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics or other equivalent fields..
5 years as a Data Scientist – a strong background in NLP/Generative AI/ML concepts and models.
Skilled in continuous model evaluation and adaptation to evolving user preferences and behavior patterns based on real-world feedback.
Data-Centric Mindset: Be willing to explore the data and have it guide you to the best solution. Able to utilize a diverse range of advanced statistical and analytic techniques to inform development priorities and decision-making processes.
Languages and Compute Frameworks: Able to write readable, testable, maintainable and extensible code in Python, SQL, and Spark.
Production ML: Experience developing data preparation, model training and inference pipelines using cloud-managed tools like Dataproc, EMR, Airflow, vector databases (FAISS, Pinecone), or equivalent.
ML Frameworks: Experience w/ PyTorch, XGBoost, SparkML, model registries (Hugging Face), LLM APIs, etc.
Experience in leading data science projects from idea to production in various domains and using various NLP/ML solutions
Communication: Able to navigate large projects with multiple collaborators. Excellent cross-functional and verbal communication skills, enabling seamless communication with business partners and stakeholders.
Theory: Understanding of latest deep learning architectures and when to apply a given pre-trained model. Experience with techniques like prompt engineering, fine tuning, reinforcement learning w/ human feedback, model distillation and model compression. Up-to-date on recent advances in the LLM space.
This position is open to all candidates.
