Position :- solutions architect
Location :- Dallas, TX (Hydride) 2 days on-site
EXP :- 17 to 20+ years
Visa :- Any Visa
Must :- only W2 Candidates
*Job Summary:*
Toyota’s Data Science team is seeking a highly skilled *Data Scientist / Solutions Architect* to play a key role in enhancing our data infrastructure and driving predictive analytics initiatives. The ideal candidate will have a deep understanding of data science techniques and infrastructure management, with the ability to optimize and make necessary changes to the existing infrastructure to support advanced analytics and machine learning models. The role requires close collaboration with the data science team to enable effective, data-driven decision-making through predictive analytics and other key initiatives.
*Key Responsibilities:*
- *Data Science and Analytics:*
- Collaborate with the Data Science team to develop and implement predictive models, machine learning algorithms, and advanced statistical analyses to solve complex business problems.
- Perform data exploration, cleaning, feature engineering, and model building to enhance decision-making processes.
- Utilize data science tools and methodologies to generate insights from large, complex datasets across various domains (e.g., manufacturing, supply chain, customer experience).
- *Solutions Architecture and Infrastructure:*
- Oversee and manage the existing data infrastructure, ensuring it is optimized for scalability, efficiency, and performance.
- Implement necessary changes and upgrades to the data infrastructure as needed to support evolving business and technical requirements.
- Collaborate with cloud and infrastructure teams to integrate new data sources and tools, ensuring seamless workflow within the existing system architecture.
- Ensure data governance, security, and compliance across all data-related activities.
- *Collaboration and Innovation:*
- Work closely with cross-functional teams, including IT, data engineering, and business stakeholders, to gather requirements and drive data solutions that meet business objectives.
- Assist in setting up data pipelines, improving data access, and ensuring the reliability of data delivery to the data science team.
- Explore new technologies and methodologies to enhance Toyota’s data science capabilities and stay ahead of industry trends.
- *Leadership and Strategy:*
- Provide thought leadership on data infrastructure and solutions architecture, ensuring Toyota’s data science environment is future-proof and adaptable to new business needs.
- Guide junior data scientists and engineers, providing mentorship and support as needed.
- Contribute to strategic discussions around long-term data science goals and infrastructure roadmaps.
#### *Qualifications:*
- *Education:*
- Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Engineering, or a related field. A PhD is a plus.
- *Experience:*
- Proven experience in data science and predictive analytics, including hands-on experience with machine learning, statistical modeling, and data mining.
- Strong background in solutions architecture, with expertise in building and maintaining scalable data infrastructure.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and big data technologies like Hadoop, Spark, and Data bricks.
- *Technical Skills:*
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI) and data pipeline tools (e.g., Apache Airflow, Apache Kafka).
- Knowledge of database technologies (e.g., SQL, NoSQL) and data storage solutions (e.g., data lakes, warehouses).
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- *Soft Skills:*
- Excellent problem-solving skills and a keen ability to work with large, complex datasets.
- Strong communication skills with the ability to present complex technical concepts to non-technical stakeholders.
- Ability to work in a fast-paced environment with cross-functional teams, driving collaboration and delivering impactful results.