Manager - Data Science

3 weeks ago

Delhi, Delhi, India Ascendeum Full time

Ascendeum is looking for mathematicians, with extensive hands-on experience in the field of data science, who can analyze large data sets efficiently to generate actionable business intelligence that drives peak performance for our clients.

About Us :

We provide AdTech strategy consulting to leading internet websites and apps hosting over 200 million monthly audiences worldwide.

Since 2015, our consultants and engineers have consistently delivered intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns.

Job Responsibilities :

- Identify valuable data sources and automate collection processes

- Undertake preprocessing of structured and unstructured data.

- Analyze large amounts of information to discover trends and patterns

- Helping develop reports and analysis.

- Present information using data visualisation techniques.

- Assessing tests, implementing new or upgraded software, and assisting with strategic decisions on new systems.

- Evaluating changes and updates to source production systems.

- Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks.

- Providing technical expertise in data storage structures, data mining, and data cleansing.

- Propose solutions and strategies to business challenges

Desired Skills and Experience :

- Relevant 4+ years of experience in Data Analysis

- Complete understanding of Operations Research, Data Modelling, ML, and AI concepts.

- Knowledge of Python is mandatory, familiarity with MySQL, SQL, Scala, Java or C++ is an asset

- Experience using visualization tools (e.g. Jupyter Notebook) and data frameworks (e.g. Hadoop)

- Analytical mind and business acumen

- Strong math skills (e.g. statistics, algebra)

- Problem-solving aptitude

- Excellent communication and presentation skills.

- Bachelors / Master's Degree in Computer Science, Engineering, Data Science or other quantitative or relevant field is preferred

(ref:hirist.tech)

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