Data Scientist

  • Remote - India

Remote

Data

Mid-level

Job description

Why Us

NewRocket, a global, full-service Elite ServiceNow partner, helps top enterprise leaders solve their toughest business problems and navigate change with confidence. The go-to ServiceNow guide, NewRocket was recently awarded the “2024 ServiceNow Worldwide Customer Workflow Partner of the Year” and “2023 ServiceNow Creator Workflow Partner of the Year”.  We work with some of the world’s biggest brands, bridging the gap between what customers expect and what their technology can deliver.

We # GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

The Role

We are seeking a skilled Data Scientist with 4 years of experience to join our dynamic team. The ideal candidate will leverage their expertise in data analysis, machine learning, and statistical modeling to extract actionable insights from complex datasets. This role will involve collaborating with cross-functional teams to solve business problems, develop predictive models, and contribute to data-driven decision-making processes.

We are #GoingBeyond Come join our crew!

What You Will Be Doing

  • Collect, clean, and preprocess large datasets from diverse sources to ensure data quality and integrity.
  • Design, develop, and implement machine learning models and algorithms to address business challenges.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Build and validate predictive and prescriptive models using statistical techniques and tools.
  • Collaborate with stakeholders to translate business requirements into data-driven solutions.
  • Create visualizations and dashboards to communicate findings effectively to technical and non-technical audiences.
  • Optimize and fine-tune existing models to improve accuracy, performance, and scalability.
  • Stay current with industry trends, emerging tools, and advancements in data science and AI.
  • Document methodologies, processes, and results for reproducibility and knowledge sharing.

What You Bring Along

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 4+ years of professional experience as a Data Scientist or in a similar role.
  • Proficiency in programming languages such as Python or R for data analysis and modeling.
  • Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Expertise in statistical analysis, hypothesis testing, and experimental design.
  • Hands-on experience with SQL for querying and manipulating large datasets.
  • Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
  • Ability to work in a collaborative environment and adapt to new AI technologies.
  • Excellent problem-solving skills and the ability to work independently or in a team.
  • Strong communication skills to present complex findings in a clear and concise manner

Preferred Skills

  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data processing and model deployment.
  • Background in natural language processing (NLP), computer vision, or time-series analysis.
  • Understanding of software development practices (e.g., version control with Git, CI/CD pipelines).

Education:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact [email protected].

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