Short Description:
Tredence, a rapidly growing global analytics services company, seeks a Data Scientist based in India. This role involves collaborating with clients to address business challenges using AI and ML technologies, developing custom models, and ensuring scalable, interpretable solutions. Candidates should possess a degree in a quantitative field, 2-4 years of data science experience, and proficiency in Python and SQL. Preferred skills include expertise in predictive analytics, NLP, and experience with data visualization tools and cloud platforms. Join Tredence for an opportunity to work with cutting-edge technologies, engage with key clients, and be part of a dynamic, equal-opportunity environment.
Position: Data Scientist
Location: India
Company: Tredence
About Tredence
Tredence stands out as a leading global provider of analytics services and solutions. Recognized as one of the fastest-growing private companies for three consecutive years on the Inc. 5000 list, we distinguish ourselves by attracting top-tier talent in the data analytics and data science domain. Our extensive capabilities span Data Visualization, Data Management, Advanced Analytics, Big Data, and Machine Learning. Notably, we specialize in constructing Scalable Big Data Solutions on Onprem/GCP/Azure cloud, offering cost-effective and easily scalable solutions for our clients. Additionally, we bring valuable intellectual property and pre-built analytics solutions in data mining, Business Intelligence (BI), and Big Data.
Job Summary
As a Data Scientist with Tredence, you will tackle impactful business challenges using a diverse array of Artificial Intelligence (AI) and Machine Learning (ML) technologies. Collaboration with business partners and domain experts will be key in designing and implementing innovative data solutions to achieve predefined outcomes.
Roles & Responsibilities
- Engage with clients to comprehend current and future business goals, translating business problems into analytical frameworks.
- Develop customized models based on a deep understanding of underlying data, data structures, and business problems, ensuring deliverables align with client needs.
- Establish repeatable, interpretable, and scalable models.
- Effectively communicate the analytics approach and insights to a broader business audience.
- Collaborate with team members, peers, and leadership at Tredence and client companies.
Qualification & Experience
- Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
- 2-4 years of hands-on experience in data science, constructing ML models.
- Proven experience leading end-to-end design, development, and deployment of predictive modeling solutions.
- Proficient programming skills in Python, with a strong grasp of numerical, data analysis, or AI frameworks like NumPy, Pandas, Scikit-learn, Jupyter, etc.
- Advanced SQL skills, including experience with SQL Server and Spark.
- Knowledge of predictive/prescriptive analytics, including Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks.
- Experience in Natural Language Processing (NLTK) and text analytics for information extraction, parsing, and topic modeling.
- Excellent verbal and written communication skills, coupled with strong troubleshooting and problem-solving abilities. Thrives in a fast-paced, innovative environment.
- Preferred experience with data visualization tools such as PowerBI, Tableau, R Shiny, etc.
- Preferred, but not required, experience with cloud platforms like Azure and AWS.
Why Join Tredence?
Discover why Tredence is among the fastest-growing private companies globally! Join a dynamic team of smart and passionate individuals in the data analytics space. Work with cutting-edge technologies and engage directly with key decision-makers at renowned clients, some of the largest and most innovative global business brands. Our people are our greatest asset, and we value each one. Tredence is an equal opportunity employer committed to core values reflected in our day-to-day operations.
Please click here to apply.
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