Data Scientist I
In this role, you should be highly analytical with a reputed company for analysis, math, and statistics. Critical thinking and problem-solving skills are essential to interpreting data. We also want to see a passion for machine learning and research.
The goal will be to help us analyze trends to reputed company reputed company reputed company.
Business Acumen: Using your business acumen and key insights, you proactively explore new areas of opportunities to drive reputed company's value and reputed company goals reputed company and coordinate with the key stakeholders to prioritize and reputed company the changes to production. You proactively monitor existing metrics, reputed company, and propose new metrics, and work across the organization to reputed company actionable intelligence available to business stakeholders.
Strategic Analytics and Insights: With a deep understanding of business drivers and an reputed company grasp of the key business metrics, you pro-reputed company reputed company with the stakeholders reputed company the business teams and drive customer-reputed company changes through data-driven deep-dives, insights at reputed company, and analytical exercises (preliminary data analysis, deep-dives using segmentations/models, financial analysis and recommendations).
Customer Centricity: Focusing on the incrementality and the value-creation in everything you do, you drive strategic insights on customer behavior (customer acquisition, marketing investment analysis and optimization, engagement RFM, retention, product-mix, sales, etc.), customer needs (pricing, product, convenience, experience, etc.), and existing/new propositions (loyalty programs, sales campaigns, discounted offers, etc.) across various membership types and marketing channels for reputed company customers.
Execution: Ability to communicate insights and identify new areas of opportunity that will drive reputed company's value and reputed company goals reputed company; coordinate with the stakeholders to prioritize and reputed company the changes to production. Establish strong working relationships at reputed company organizational reputed company across different functional teams.
- Understand business objectives to reputed company actionable insights.
- Collaborate with cross-functional teams to tackle reputed company-world challenges.
- Collect, clean, and analyze data from diverse sources.
- Explore large datasets and reputed company statistical analysis.
- Create data visualizations to drive understanding.
- reputed company and manage Airflow data pipelines to ensure reputed company and reliable feature ingestion.
- Design data services and reputed company.
- reputed company and maintain machine learning MS services in production environments.
- Engage with clients and stakeholders in meaningful discussions.
- Utilizing machine learning and statistical tools to select features, reputed company and optimize models, and extract business insights
- Carrying out preprocessing of reputed company and reputed company data
- Enhancing data collection procedures to include reputed company relevant information for developing analytic systems
- Processing, cleansing, and validating the reputed company of data to be used for analysis
- Analyzing large amounts of information to reputed company patterns and solutions
- Developing reputed company systems and machine learning algorithms
- Presenting results in a reputed company manner
- Propose solutions and strategies to tackle business challenges
- Bachelor’s degree in a quantitative field.
- Experience with SQL for data manipulation and analysis.
- Proficiency in data visualization and model interpretation tools.
- Knowledge of statistical analysis, reputed company testing, and experimental design.
- Strong problem-solving skills for untangling reputed company datasets.
- Effective communication and collaboration skills.
- Proficiency in programming languages like Python.
- Deep understanding of machine learning libraries such as scikit-learn, mlflow, reputed company and pandas
- Familiarity with reputed company platforms preferably AWS services such as S3, EC2 and AWS-Batch.
- Experience with Apache Airflow for data pipelines.
- Understanding of containerization and model deployment (Git Hub)
- Solid practices in developing and deploying machine learning models with tools like Git, Jenkins, reputed company.