Grow, Develop and Evolve

At Wissen Baum, people are exposed to an intelligence and dynamic environment for professional excellence and as well as personal growth. They have to work on the leading edge technologies and domains that translate into continual expansion of professional boundaries.

We are Hiring

Apply to open positions by writing to us at careers@wissenbaum.com

Data Science Internship
Roles and Responsibilities:
  1. Assist in data collection, preprocessing, and cleaning tasks to ensure data quality and reliability.
  2. Collaborate with the data science team to develop and implement machine learning models and algorithms.
  3. Conduct exploratory data analysis to uncover patterns, insights, and trends that contribute to business objectives.
  4. Support the development of predictive models and statistical analyses to solve business problems and optimize processes.
  5. Assist in the evaluation and selection of appropriate data science tools, frameworks, and libraries.
  6. Help maintain and update existing data pipelines and workflows to ensure efficient data processing and analysis.
  7. Contribute to the documentation of data science projects, including code, methodologies, and findings.
  8. Stay up to date with the latest advancements in data science and machine learning techniques.
Qualifications:
  1. Currently pursuing a Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  2. Solid understanding of data science fundamentals, statistical analysis, and machine learning concepts.
  3. Proficiency in programming languages such as Python or R, and familiarity with data manipulation libraries (e.g., pandas, NumPy).
  4. Experience with data visualization tools (e.g., Matplotlib, Tableau) to communicate insights effectively.
  5. Strong problem-solving skills and the ability to work with large datasets to derive actionable insights.
  6. Knowledge of SQL and experience working with relational databases.
  7. Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow) is a plus.
  8. Excellent communication skills and the ability to work effectively in a team environment.
  9. Attention to detail and the ability to manage multiple tasks and deadlines.
Benefits:
  1. Gain practical experience in data science and machine learning through hands-on projects.
  2. Collaborate with experienced professionals and mentors who will provide guidance and support.
  3. Exposure to cutting-edge tools and technologies used in the field of data science.
  4. Opportunity to contribute to real-world projects and make an impact on the company's success.
  5. Networking opportunities with professionals in the industry.
  6. Possibility of a full-time position based on performance and availability.
Apply Now : careers@wissenbaum.com
Solutions Architect: Data Science
Roles and Responsibilities:
  1. Develop Big data solutions for Fortune-500 customers
  2. Work on Big Data Ingestion, Pre-processing, Storage, Parsing, Analyzing and Visualization
  3. Study large sets of data to turn information into business insights
  4. Get End-to-end ownership of deliverables - POC to production
  5. Work with senior executives of top brands and provide expert recommendations
  6. Work with a team of exceptionally talented and dedicated Data Scientists and Engineers
  7. BYOP - Bring your own process. We like new things.
Qualifications and Skills:
  1. Bachelors or Masters Degree in Computer Science/Information Technology/Statistics/Mathematics or relevant streams
  2. 2-3 years of hands-on experience
  3. Proficiency in Big Data ecosystems like Azure, Amazon, Google Cloud
  4. Experience with Analytics tools like Google Analytics, Firebase, Tableau, Power-BI, Microstrategy
  5. Experience in distributed computing frameworks: Apache Hadoop 2.0 (YARN; Map Reduce & HDFS) and associated technologies -- one or more of Hive, Sqoop, Flume, Zookeeper, etc.
  6. Experience with Kafka / Apache Spark (Streaming, SQL, MLLib)/ Apache Apex / Apache Storm
  7. Experience with predictive & prescriptive statistical analysis
  8. Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those
  9. Experience working within a Linux computing environment and use of command-line tools
  10. Experience and interest in Machine Learning is a plus
Apply Now : careers@wissenbaum.com
Machine Learning Engineer
Roles and Responsibilities:
  1. Solve challenging real world problems using bleeding edge technology and tools.
  2. Work on machine learning based solutions around multiple domains like Sales Forecasting, Customer Propensity, Price Optimization, Classification Models, Recommender Systems, Sentiment Analyzer Models, Contextual Conversation Modelling.
  3. Get End-to-end ownership of deliverables - POC to production.
  4. Work directly with customers & users - understand their needs and provide expert recommendations.
  5. Work with a team of exceptionally talented and dedicated Data Scientists and Engineers.
  6. BYOP - Bring your own process. We like new things.
Qualifications and Skills:
  1. Bachelors or Masters Degree in Computer Science/Information Technology/Statistics/Mathematics or relevant streams.
  2. 2+ years hands-on experience.
  3. Experience in Regression, Machine Learning, Deep learning etc.
  4. Expert level proficiency in at least one of R and Python.
  5. Ability to discover effective solutions to complex problems. Strong skills in data-structures and algorithms.
  6. Experience of working on a project end-to-end: problem scoping, data gathering, modeling, insights, and visualizations.
  7. Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those.
  8. Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms.
Apply Now : careers@wissenbaum.com

Copyright Wissen Baum, All Right Reserved.