Deskripsi Pekerjaan
EXL Services is seeking a highly skilled Data Analyst with expertise in Machine Learning and Time Series Modeling to join our dynamic team. In this role, you will act as the primary forecasting subject matter expert (SME), embedded within our client's ecosystem. You will leverage advanced analytical techniques to drive business insights, optimize decision-making processes, and deliver transformative outcomes. This is a full-time opportunity located at the Mall of Asia in Metro Manila.
As a key member of our analytics practice, you will collaborate closely with cross-functional teams to develop predictive models, analyze complex datasets, and provide actionable recommendations. Your deep understanding of time series forecasting and machine learning algorithms will be critical in enhancing our clients' operational efficiency and strategic planning. We are looking for a proactive, detail-oriented professional who thrives in a fast-paced, client-facing environment.
Join EXL Services and contribute to high-impact projects that fuse data science with business strategy. You will have access to cutting-edge tools, continuous learning opportunities, and a supportive culture that values innovation and excellence. If you are passionate about turning data into foresight and driving measurable business results, we encourage you to apply.
Tanggung Jawab
- Develop and deploy machine learning models for time series forecasting and predictive analytics.
- Serve as the primary forecasting SME, embedded within client teams to understand business needs and deliver insights.
- Clean, preprocess, and analyze large datasets to identify trends, patterns, and anomalies.
- Design and implement statistical models to support demand planning, inventory optimization, and resource allocation.
- Create compelling data visualizations and dashboards to communicate findings to stakeholders.
- Collaborate with data engineers and IT teams to ensure data quality and availability.
- Present analytical results and recommendations to senior management and client executives.
- Stay current with emerging technologies and methodologies in machine learning and time series analysis.
Kualifikasi
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
- At least 3-5 years of hands-on experience in data analysis, machine learning, and time series modeling.
- Proficiency in Python (pandas, scikit-learn, statsmodels) or R for data manipulation and model building.
- Strong SQL skills for querying and managing large relational databases.
- Experience with forecasting techniques (ARIMA, Prophet, LSTM, etc.) and feature engineering.
- Excellent communication and presentation skills, with the ability to translate technical concepts to non-technical audiences.
- Proven ability to work independently and as part of a team in a client-facing role.
- Familiarity with data visualization tools (Tableau, Power BI, or similar) is a plus.