Senior Data Scientist, Machine Learning (ML)

Key Skills

Algorithms, Analytical and Problem solving, Apache Hadoop, AWS, Azure, Big Data Technology, Data science techniques, Effective communication skills, Git, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, PyTorch, R Programming, Scikit-learn, SPARK Programming, TensorFlow

Job Description

Are you interested in solving complex business problems with the help of data and insights? You can be a key driver in transforming our business with the help of data and analytics.

In this job, you will:

We are seeking a talented and experienced Machine Learning Data Scientist to join our team. The ideal candidate will have a strong background in machine learning, data analysis, and programming. They will be responsible for designing, developing, and implementing machine learning models and algorithms to extract valuable insights from large and complex datasets. The candidate should be able to collaborate effectively with cross-functional teams to drive data-driven decisions and contribute to the advancement of our data science initiatives.

To join us, you should have:

4+ years of experience in working on industrial use cases in data science using Machine Learning for measurement, forecasting, simulation and optimization

Data Analysis and Preprocessing:

• Collect, clean, and preprocess data from various sources to create robust datasets for model development.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and potential issues in the data.

Feature Engineering:

• Extract and engineer relevant features from raw data to improve the performance of machine learning models.

Model Development:

• Develop and implement machine learning algorithms and models that solve specific business problems.
• Select appropriate algorithms and techniques based on the nature of the data and the problem.

Model Training and Evaluation:

• Train and fine-tune machine learning models using appropriate tools and frameworks.
• Evaluate model performance using appropriate metrics and iterate on models to achieve desired outcomes.

Deployment and Integration:

• Deploy machine learning models into production systems and ensure their seamless integration with existing infrastructure.
• Monitor and maintain deployed models, making necessary updates as data and business requirements change.

Collaboration and Communication:

• Work closely with cross-functional teams, including software engineers, domain experts, and stakeholders, to understand requirements and deliver solutions.
• Clearly communicate complex technical concepts and findings to both technical and non-technical audiences.

Research and Innovation:

• Stay up-to-date with the latest advancements in machine learning and data science, and apply innovative techniques to solve challenging problems.

Qualifications:

• A bachelor's/master's/Ph.D. degree in a related field (e.g., Computer Science, Statistics, Data Science).
• Strong programming skills in languages such as Python, R, or similar languages commonly used in data science.
• Solid understanding of machine learning algorithms, techniques, and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in data manipulation, analysis, and visualization using libraries like pandas, NumPy, and Matplotlib/Seaborn.
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Familiarity with version control systems (e.g., Git) and collaborative coding practices.
• Excellent problem-solving skills and the ability to translate business needs into technical solutions.
• Strong communication skills and the ability to work effectively in a team environment

About us

We write software that tells data stories. We told a global computer manufacturer to “focus on order delivery time. It’ll increase NPS by 18% with incremental revenue of >$50M”. We predicted mosquito release points for a foundation to cut down process times from 3 weeks to 2 hours in a mission to protect 100M lives from malaria in 5 years.”.

We are good at what we do, which is why we are growing by 40% every year. We’re looking for team members who share our vision and will help us scale.

We offer you

• First-hand experience with C-Suite focused business advisory in the space of data & analytics.
• An opportunity to make deep industry connects with data science experts, client teams, domain champions and be part of the change that is transforming the business environment today
• A chance to try things, take risks.
• Meaningful problems you’ll be proud of solving.
• People you will be comfortable working with.

Key metrics for you will be

• Solution quality and business value delivered to client
• Successful project deliveries
• Customer Satisfaction on engagements