Modelling & Data Science Executive

1 week ago

Bengaluru Karnataka, India Dentsu Full time

Job Description:
Key Responsibilities:

- Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets.
- Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions.
- Create visually compelling dashboards and reports to present findings to stakeholders.
- Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance.
- Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team.
- Mentor junior team members and contribute to knowledge sharing within the organization.

Basic Qualifications:

- Bachelor’s or Master’s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field.
- 3+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field.
- Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies
- Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI
- Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data.
- Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders.
- Strong analytical and problem-solving skills, with an inquisitive mindset.

Desired Skills:
Proficient in the following advanced analytics techniques:

- Descriptive Analytics: Statistical analysis, data visualization.
- Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling
- Prescriptive Analytics: Optimization, simulation modeling.
- Text Analytics: Natural Language Processing (NLP), sentiment analysis.

Extensive knowledge of machine learning techniques, including:

- Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others
- Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others
- Reinforcement Learning: Q-learning, deep Q-networks, etc.

Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents.
- Hyper parameter tuning
- Prompt Engineering
- Embedding & Vectorization
- Fine tuning

Proficiency in data visualization tools such as Tableau or Power BI.

Strong skills in data management, structuring, and harmonization to support analytical needs.

Location:
Bengaluru

Brand:
Merkle

Time Type:
Full time

Contract Type:
Permanent

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