About Magicpin:

Job Summary:

We are in search of a skilled Data Science professional to join our dynamic team. The chosen candidate will play a pivotal role in developing and implementing data-driven solutions aimed at fostering business growth and resolving intricate challenges. A successful candidate should possess robust analytical capabilities, exceptional communication skills, and the ability to collaborate effectively within a team setting.

Key Responsibilities:

  • Analyze intricate datasets and devise predictive models utilizing statistical and machine learning methodologies.
  • Collaborate closely with cross-functional teams to discern business requirements and furnish data-backed insights.
  • Create and uphold data visualizations, dashboards, and reports to articulate critical insights and discoveries.
  • Formulate and execute experiments to validate hypotheses and enhance the efficacy of existing models.
  • Continuously monitor and enhance the performance of models and data pipelines.
  • Stay abreast of the latest advancements in data science, machine learning, and associated domains.
  • Effectively communicate technical concepts and findings to both technical and non-technical stakeholders.

Qualifications:

  • Hold a Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related discipline.
  • Possess over 2 years of experience in a data science capacity, preferably in a dynamic environment.
  • Proficient programming skills in Python.
  • Proficiency in data visualization and dashboarding tools such as Data Studio.
  • Proficient in SQL and NoSQL databases.
  • Solid grasp of statistical and machine learning techniques including regression, classification, clustering, decision trees, neural networks, NLP, recommendation systems, etc.
  • Experienced in data manipulation, cleansing, preparation, and modeling using tools like Pandas, NumPy, SciPy, TensorFlow, Keras, etc.
  • Strong problem-solving and critical thinking abilities.
  • Excellent written and verbal communication skills.
Apply for this job
Share this job