Your Primary Responsibilities
Analyze large datasets using Python, SQL, Pandas, and NumPy.
Build, train, validate, and evaluate machine learning models for business use cases.
Develop dashboards and reports using Power BI to communicate insights.
Prepare and transform data through cleaning, feature engineering, and quality checks.
Apply statistical techniques and conduct A/B testing to measure business outcomes.
Work with cloud-based data platforms such as AWS and Snowflake.
Utilize Generative AI concepts, including prompt engineering and Large Language Models (LLMs).
Ensure data quality, governance, and responsible AI practices are followed.
Present findings and recommendations through clear data storytelling.
Collaborate with cross-functional teams in an Agile environment.
Qualifications
Minimum of 4 years of related experience
Bachelor's degree preferred or equivalent experience.
Talents Needed for Success
Experience with Python and SQL for data analysis and model development.
Strong knowledge of Pandas, NumPy, and machine learning techniques (Regression, Classification, and Clustering).
Experience with Power BI or similar visualization tools.
Understanding of data preparation, feature engineering, and model evaluation.
Knowledge of AWS, Snowflake, and cloud analytics platforms.
Familiarity with GenAI concepts, prompt engineering, and LLMs.
Strong analytical, problem-solving, and communication skills.
Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
