
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...
Skills & Technologies
Overview
Sigmoid is hiring a Senior Data Scientist to tackle complex data science and machine learning challenges across various industries. You'll work with Python, R, and machine learning algorithms to deliver impactful data solutions. This role requires 3-5 years of relevant experience.
Job Description
Who you are
You have 3-5 years of relevant experience in machine learning and data science, demonstrating a strong ability to solve complex unstructured business problems using data. Your educational background includes a B. Tech from a Tier-1 college or an M.S/M. Tech in Computer Science, Information Technology, or a related field. You possess a high sense of ownership and are skilled at data interpretation, thriving in fast-paced and deadline-driven environments. Your passion for technology drives you to stay updated with the latest advancements in the field.
You are highly proficient in programming languages such as Python and R, and you have a solid understanding of statistical and machine learning concepts. Your experience includes working with Python libraries like Pandas, NumPy, SciPy, and Scikit-Learn, which you use to perform data analysis and model building. You also have exposure to distributed big data processing tools like PySpark and are comfortable working in environments that utilize AWS.
What you'll do
In this role, you will engage with clients to understand their business context and identify data-driven solutions to their challenges. You will work on a variety of cutting-edge data science and machine learning problems, applying your expertise to develop models that improve accuracy and monitor performance. Your responsibilities will include data extraction from EDW/Big Data platforms, dataset preparation, and performing exploratory data analysis (EDA).
You will collaborate with cross-functional teams to push the boundaries of what is possible in data analytics and machine learning. Your role will involve not only technical execution but also mentoring junior team members and contributing to a culture of mutual respect and teamwork. You will be expected to communicate your findings effectively to stakeholders, ensuring that data insights translate into actionable business strategies.
What we offer
At Sigmoid, you will be part of a leading data solutions company backed by Sequoia Capital, where you will have the opportunity to work on impactful projects that energize and inspire. We foster a culture that values expertise and teamwork, providing you with the resources and support needed to excel in your role. You will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in the data science field. Join us in solving some of the toughest problems in data and technology, and make a significant impact in various industries.
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