Principal Data Scientist - R/Python (5-10 yrs)

Job Description :

TEG Analytics is a company on a mission to democratize Analytics. Collaborate with Fortune 500 companies, leveraging a global delivery model and pioneering intellectual property to empower decision-makers with accessible Analytics. Dive into an ecosystem nurturing Analytics thought leaders and practitioners, shaping the future of data-driven decision-making.

Job Summary :

Join our team as a high-powered, quantitatively oriented data scientist to fortify the Data Science function within the Retail and Consumer Goods realm. Your mission? Decode intricate business challenges and infuse strategic value into pivotal business domains using an array of analytical & statistical tools at your disposal.

What You'll Do :

- Client Interface : Engage with Senior Managers/Directors from top-tier Global Retail, Consumer Goods, and Healthcare firms based in the US.

- Business Insight : Grasp business and data models, synthesize available information, and strategize for comprehensive analyses.

- Machine learning : Use machine learning to create systems that can learn from data and make predictions.

- Data Visualization : Use different methods to draw insights by crafting sassy reports.

- High-Impact Project : Lead impactful projects aligned with bottom-line impact, collaborating with Delivery Managers.

- Statistical Collaboration : Partner with the statistical team to create models and deliver compelling results.

- Adaptability : Address ad hoc requirements with agility, showcasing high-caliber business analysis skills.

Experience You'll Need :

- Education : Graduate/Postgraduate from Tier 1 institutions.

- Professional Track : 4+ years as a Data Scientist leveraging SQL, Python, R, Tableau, and MS Excel.

- Business Translation : Ability to convert client briefs into actionable analytical frameworks.

- Analytical Proficiency : Deploy models, scrutinize outputs against key indicators for viable solutions.

What You'll Bring to The Table :

- Strategic Agility : Navigate complexity strategically, harnessing data for impactful decisions.

- Innovative Problem-Solving : Challenge norms, ushering in creative solutions.

- Adaptive Learning : Embrace emerging industry trends, implementing evolving methodologies.

- Communication Prowess : Articulate complex findings persuasively to diverse stakeholders.

- Collaborative Spirit : Foster synergy within cross-functional teams, enabling effective collaboration.