Techila
Techila/Careers/Data Scientist/Architect
HybridHyderabad4–12 yrsApply by Aug 31, 2026

Data Scientist/Architect

Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.

Experience

4–12 yrs

Employment Type

Full-time

Openings

2 positions

Apply By

Aug 31, 2026

Required Skills

Data ScientistPythonData ArchitectNumpygenai

Job Description

ob Description: - 4+ years of primary, hands-on experience in Data Science and Predictive Modeling within a production environment. - Proficiency with Python and SQL, including libraries such as Pandas, Scikit-learn, and NumPy. - 3+ years of experience in Statistical Analysis, Machine Learning (ML) algorithms, and deploying models into production. - Strong understanding of Data Integration, Feature Engineering, and working with both structured and unstructured datasets. - Experience with Model Documentation and tracking experiments (e.g., MLflow, DVC, or Jupyter). - Excellent analytical and mathematical skills, with strong attention to detail. - Strong written and verbal communication skills to translate complex data findings into actionable business insights. - Ability to work independently and manage end-to-end data projects.

At a Glance

Work ModeHybrid
EmploymentFull-time
Experience4–12 yrs
Openings2
LocationHyderabad
DeadlineAug 31, 2026
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[ Hiring process ]

What to expect

Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.

  1. STEP 0130 min

    Screening Call

    Introductory conversation with our talent team to understand your background and motivations.

  2. STEP 0260–90 min

    Technical Round

    Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.

  3. STEP 0345 min

    Culture Fit

    Conversation with practice leadership covering working style, ownership, and how you collaborate.

  4. STEP 04Within 5 days

    Offer

    Formal offer with full compensation breakdown, start date, and onboarding plan.

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Data Scientist/Architect

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