Data Scientist, Ii

6 months ago

Bengaluru, India Zebra Technologies Full time

**Remote Work: Hybrid**

**Overview**:
At Zebra, we extend the edge of possibility by shaping the future of work on the front line—reinventing how businesses run and moving society forward.

We are a community of changemakers, innovators and doers who come together to deliver a performance edge to the front line of business. We develop new technologies and create new solutions with partners to help organizations act with greater visibility, connectivity, and intelligence—delivering better experiences for workers and those they serve.

Being a part of Zebra means being seen, heard, valued, and respected as you define your path to a fulfilling career. Here, you'll have opportunities to learn and lead at a leading company, and you can channel your skills towards causes that you and the Zebra community care about, locally, and globally.

Together, we've only begun to define the edge of what's possible—for our people, our customers, and the world.

As a Data Scientist II, you will play a key role in leveraging data to drive informed decision-making and solve complex business problems. This position typically requires 3-8 years of relevant experience in data science and analytics.

Ability to work collaboratively in a team environment. Strong communication skills to convey complex findings to both technical and non-technical stakeholders will be a big plus.

**Responsibilities**:

- **
Data Analysis and Modelling**:

- Utilize statistical and machine learning techniques to analyze large datasets.
- Develop and implement predictive models, algorithms, and statistical analyses to support business objectives.

**Data Exploration and Preprocessing**:

- Explore and clean raw data to prepare it for analysis.
- Work with big data technologies and databases to extract, transform, and load (ETL) data.

**Feature Engineering**
- Identify and create relevant features for model development.
- Collaborate with domain experts to incorporate business knowledge into feature engineering.

**Model Evaluation**
- Evaluate model performance using appropriate metrics.
- Fine-tune models for better accuracy, scalability, and efficiency.

**Data Visualization and Communication**:

- Communicate findings and insights to both technical and non-technical stakeholders.
- Create visualizations to effectively convey complex data-driven insights.

**Collaboration and Cross-functional Communication**:

- Collaborate with cross-functional teams, including business analysts, engineers, and product managers.
- Work closely with stakeholders to understand business requirements and objectives.

**Continuous Learning and Innovation**:

- Stay updated on the latest advancements in data science and machine learning.
- Identify opportunities for innovation and improvement in data science methodologies.

**Project Management**:

- Manage end-to-end data science projects, from problem definition to deployment.
- Prioritize tasks, meet deadlines, and ensure the successful delivery of data-driven solutions.

**Qualifications**:

- **
Education and Experience**
- Bachelor’s or master’s or advanced degree in Statistics, Mathematics, Data / Computer Science or related discipline.
- 3-8 years’ experience in Data Science, Advanced Analytics developing ML models in Python.
- Work/project experience in Sensors, IoT, Mobile, Manufacturing, or Supply-chain domain highly preferred.
- Shows ease in understanding the business requirements from the functional teams that are non-technical and possess the ability and skills in presenting the complex findings to business values and KPIs.

**Technical Skills**
- High Proficiency in programming languages such as Python/R and SQL. Python preferred.
- Strong knowledge of machine learning frameworks and libraries - experience with various machine learning libraries including but not limited to TensorFlow, Scikit-learn, Seaborn, Matplotlib, NumPy, Pandas, PyTorch.
- Strong analytical and problem-solving skills to address business challenges.
- Very good verbal and written communication skills.
- Exposure the Large Language Models a plus.
- Self-motivated and self-starter with high degree of work ethic

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