Momentive Software is looking to leverage data to drive business solutions and solve complex business problems by setting the direction for advanced analytics projects and guiding data science initiatives aligned with organizational objectives.
Requirements
- Expertise in statistical modeling, machine learning algorithms, deep learning, data mining, and predictive analytics.
- Proficiency in programming languages such as Python, R, and SQL, and familiarity with big data technologies (e.g., Hadoop, Spark).
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and MLOps tools for deployment and monitoring of models.
- Experience building and deploying large-scale, production-grade machine learning systems.
- Strong knowledge of data visualization tools and techniques.
- Strong critical thinking skills and the ability to creatively solve complex, ambiguous challenges.
- Commitment to ethical data science practices and knowledge of regulatory frameworks relevant to data privacy and security.
Responsibilities
- Set the direction for advanced analytics projects and guide data science initiatives aligned with organizational objectives.
- Lead end-to-end data science projects, from problem formulation and data acquisition to model development, deployment, and monitoring.
- Apply cutting-edge statistical, machine learning, and artificial intelligence techniques to solve complex business problems.
- Drive experimentation and innovation, identifying opportunities to improve existing processes, products, and services using data science.
- Design, build, and validate advanced analytical models using a variety of tools and programming languages
- Ensure adherence to data privacy, security, and ethical guidelines in all analyses and model deployments.
- Present findings, insights, and recommendations to technical and non-technical audiences, including executives, in clear, compelling ways.
Other
- Collaborate with executive leadership to identify opportunities for leveraging data to drive business solutions.
- Work closely with product managers, data engineers, software developers, and business stakeholders to translate requirements into analytic solutions.
- Coach and mentor junior and mid-level data scientists, providing technical guidance, career development, and support.
- Demonstrated ability to influence organizational strategy through data-driven insights.
- Demonstrated ability to solve business problems and communicate insights to drive decision-making to both a technical and non-technical audience
