Senior Data Scientist
Responsibilities
Qualifications & Requirements
Experience Level: Senior Level
Full Job Description
Join Sigmoid Analytics in Bengaluru as a Senior Data Scientist to tackle cutting-edge data science and machine learning challenges across diverse industries. You will engage directly with clients to understand their business context and develop data-driven solutions for complex, unstructured problems. This role is ideal for individuals passionate about applying data science and machine learning to solve real-world business issues. You'll work in a collaborative, team-first environment that encourages innovation and pushing technological boundaries.
About the Role
Work on a wide array of advanced data science and machine learning problems across various industries. Engage with clients to grasp their business context and translate needs into data-driven strategies.
If you are passionate about solving complex business problems using data science and machine learning, we want to hear from you.
Function: Data Science and Analysis, Data Science / Machine Learning
Desired Skills & Competencies
- Strong learning acumen
- Team management capabilities
- High sense of ownership
- Ability to thrive in a fast-paced, deadline-driven environment
- Passion for technology
- Excellent data interpretation skills
- Proven problem-solving abilities
- Good exposure to machine learning concepts and algorithms
- Fluency in Python
- Strong foundation in statistical and machine learning concepts
- Proficiency with Python libraries such as SciPy, NumPy, Pandas, I Python, and Scikit-learn
- Experience with distributed big data processing (PySpark, Jupyter, Linux, AWS)
Responsibilities
- Conduct hypothesis testing, generate insights, perform root cause analysis, and conduct factor analysis.
- Develop statistical models (predictive & prescriptive) using various statistical and machine learning techniques/algorithms.
- Test and train models, enhance model accuracy, and monitor model performance.
- Extract data from EDW/Big Data platforms, prepare datasets (base data creation, aggregation, transformation), and perform Exploratory Data Analysis (EDA).
Desired Experience & Education
- 2.5 - 3.4 years of relevant Machine Learning experience.
- A Bachelor's degree from a Tier-1 college, or a Master's degree (M.S. or M.Tech.) in Computer Science, Information Technology, or a related field is preferred.
Company
Sigmoid Analytics
Sigmoid Analytics, a Sequoia Capital-backed leader in Data solutions, offers comprehensive end-to-end data value chain services encompassing Data Science, Data Engineering, and Data Ops. Leveraging da...