
About Sigmoid
Transforming data into actionable insights for enterprises
Key Highlights
- Headquartered in San Francisco, California
- Over 500 employees focused on data solutions
- Partners with Fortune 500 companies for data analytics
- Utilizes open-source and cloud technologies
Sigmoid, headquartered in San Francisco, California, specializes in data solutions that leverage real-time analytics and machine learning. The company partners with clients like Fortune 500 companies to build and manage large-scale data platforms using open-source and cloud technologies. With a work...
🎁 Benefits
Employees enjoy competitive equity options, generous PTO policies, flexible remote work arrangements, and a learning budget for professional developme...
🌟 Culture
Sigmoid fosters a culture that emphasizes data-driven decision-making and innovation, encouraging teams to experiment with new technologies and method...
Overview
Sigmoid is hiring a Lead Data Scientist to develop predictive models and engage with clients across various domains. You'll work with technologies like Python, R, and cloud platforms such as AWS and Azure. This position requires 8+ years of experience in data science and machine learning.
Job Description
Who you are
With over 8 years of experience in data science, you have a strong foundation in programming languages such as Python and R, and you are proficient in SQL and NoSQL databases. Your expertise extends to cloud technologies including AWS, Azure, and GCP, allowing you to leverage the power of cloud computing in your projects. You are well-versed in Python libraries like NumPy, Pandas, and Scikit-Learn, and you have hands-on experience with machine learning tools and frameworks such as TensorFlow and BERT. Your solid understanding of statistics enables you to design statistical hypothesis tests that inform decision-making processes effectively.
You have a proven track record of developing predictive models using various machine learning algorithms, including SVM, Random Forest, Neural Networks, Decision Trees, and Logistic Regression. Your ability to engage with clients and understand complex problem statements allows you to offer tailored solutions in sectors such as Retail, Pharma, Banking, and Insurance. You are proactive in contributing to internal product development initiatives related to data science, and you have experience in managing end-to-end client AI and analytics programs.
What you'll do
In this role, you will take on a combination of hands-on contributions and technical team management. You will guide a team of data scientists to meet their deliverables while also engaging directly with clients to understand their needs and provide effective solutions. You will be responsible for developing a data science roadmap that aligns with client objectives and drives project success. Your role will involve regular project reviews and audits to ensure that projects are executed efficiently and effectively.
You will allocate workloads among team members, considering their availability and skill sets, to optimize project outcomes. Your strong project management skills will be essential in delivering complex projects, including effort and time estimation. You will also define technology strategies and roadmaps for client accounts, guiding the implementation of these strategies within projects. Your ability to discover insights hidden in large datasets will drive business results and enhance client engagement processes for faster turnaround and higher accuracy.
What we offer
At Sigmoid, we value innovation and collaboration. You will have the opportunity to work with a talented team of professionals who are passionate about data science and its applications. We encourage you to apply even if your experience doesn't match every requirement, as we believe in fostering a diverse and inclusive work environment. Join us to make a significant impact in the field of data science and analytics.
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