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Full-time
On-site
Posted 2 hours, 9 minutes ago
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Job Description
We’re seeking a skilled Data Scientist with expertise in
**SQL, Python, AWS Sagemaker, Machine Learning (Supervised and Unsupervised Learning techniques)**
to contribute to Team. You’ll design predictive models, uncover actionable insights, and deploy scalable solutions to recommend optimal customer interactions. This role is ideal for a problem\-solver passionate about turning data into strategic value.
**Key Responsibilities**
* **Model Development:**
Build, validate, and deploy machine learning models using
**Python**
and
**AWS SageMaker**
to drive next\-best\-action decisions.
* **Commercial Analytics:**
Analyze customer segmentation, lifetime value (CLV), and campaign performance to identify high\-impact NBA opportunities.
* **Cross\-functional Collaboration:**
Partner with marketing, sales, and product teams to align models with business objectives and operational workflows.
* **Cloud Integration:**
Optimize model deployment on AWS, ensuring scalability, monitoring, and performance tuning.
* **Insight Communication:**
Translate technical outcomes into actionable recommendations for non\-technical stakeholders through visualizations and presentations.
* **Continuous Improvement:**
Stay updated on advancements in AI/ML, cloud technologies, and commercial analytics trends.
**Qualifications:**
* **Education:**
Bachelor’s/Master’s in Data Science, Computer Science, Statistics, or a related field.
* **Experience:**
4\-5 years in data science, with a focus on
**commercial/customer analytics**
(e.g., pharma, retail, healthcare, e\-commerce, or B2B sectors).
**Technical Skills:**
* Proficiency in
**SQL**
(complex queries, optimization) and
**Python**
(Pandas, NumPy, Scikit\-learn).
* Hands\-on experience with
**AWS SageMaker**
(model training, deployment) and cloud services (S3, Lambda, EC2\).
* Familiarity with ML frameworks (XGBoost, TensorFlow/PyTorch) and A/B testing methodologies.
**Analytical Mindset:**
Strong problem\-solving skills with the ability to derive insights from ambiguous data.
**Communication:**
Ability to articulate technical concepts to business stakeholders.
**Preferred Qualifications**
* AWS Certified Machine Learning Specialty or similar certifications.
* Experience with big data tools (Spark, Redshift) or ML Ops practices.
* Knowledge of NLP, reinforcement learning, or real\-time recommendation systems.
* Exposure to BI tools (Tableau, Power BI) for dashboarding.
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