JOB OVERVIEW:

We are looking for a Data Scientist who will support our product and work with teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

RESPONSIBILITIES:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

SKILLS/TOOLS:

  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Strong knowledge of Data Structures and Algorithms.
  • Hands-on LSTMs and GRU.
  • Hands-on and strong knowledge of BERT models.
  • Hands-on Experience with GPT and T5 transformer models.
  • NLP Libraries (Gensim, NLTK, Spacy).
  • Knowledge of API building (Flask, Django).
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We’re looking for someone with 1-2 years of experience manipulating data sets and building statistical models, has a Bachelor’s or Master's in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc

Job Details

Total Positions:
2 Posts
Job Shift:
First Shift (Day)
Job Type:
Department:
IT
Gender:
No Preference
Minimum Education:
Bachelors
Degree Title:
Information Technology / Computer Science
Career Level:
Experienced Professional
Minimum Experience:
2 Years
Apply Before:
Nov 01, 2022
Posting Date:
Sep 24, 2022

MTBC

Information Technology · 1501-2000 employees - Islamabad, Karachi, Rawalpindi

pMTBC was established in 1999. Headquartered in New Jersey, USA, it is a dynamic and rapidly growing multinational healthcare IT Company. Deloitte Technology Fast 500 ranked MTBC in its list of fastest growing technology companies of North America. The Company has attained tremendous growth in the short span of a few years, which is testament to well-implemented, technology-based processes and which also lays the foundations for productivity. MTBC is following a formula of long-term growth by combining and utilizing labor force increase, investment activity and scientific and technological progress. MTBC offers American physicians customized solutions that reflect the very best in practice management services available in the industry today. Our services maximize the power of the Internet and technology to give medical providers better control over scheduling and billing, total access to all of their billing information, and comprehensive practice-management reports, all the while reducing the cost factor. The organization's management envisions reinvesting most of its earned profits mainly towards IT, and developing various technology-based solutions that will completely replace manual processes. MTBC operates 24/6 with a workforce of more than 1000 employees operating in three shifts in Rawalpindi & Bagh (AJK). The Company is providing a platform to young professionals to learn and practice their innovative ideas in a healthy work environment./p

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