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Data Science is transforming the tech world with data-driven insights. With the advancement in technology the job market is buzzing with different job roles in the field of data science. Businesses worldwide are in search of talent who can handle the intricacies of data analysis and transform it into useful knowledge. Let us explore the data science job openings for data science careers:
Neudesic is a technology services company specializing in business innovation and digital transformation. They are looking to expand their Data & AI team at their Hyderabad office by hiring a Senior Data Scientist.
Key Responsibilities
Collect, measure, organize, and analyze large-scale data using tools like Python, PySpark/Scala, and SQL.
Develop and implement AI and ML models utilizing OpenAI technologies, prompt engineering, and generative AI.
Optimize data processes and algorithms to enhance performance and scalability.
Design, develop, and maintain databases and data models.
Conduct data mining and segmentation to extract valuable insights.
Apply statistical methods using tools like Excel to analyze datasets.
Create and deploy accurate algorithms to solve complex data problems.
Utilize data visualization tools like PowerBI to present data findings effectively.
Collaborate with cross-functional teams to integrate AI and ML solutions into business processes.
Stay updated with the latest advancements in AI, ML, and data science.
Qualifications
The ideal candidate should have a strong background in data science, extensive experience with AI/ML technologies, and a passion for continuous learning and improvement.
Minfy, a leading IT services and consulting company, is seeking a data scientist for their Hyderabad office. The company focuses on providing cloud, AI, and automation solutions.
Key Responsibilities
Utilize machine learning and deep learning models to create consumer intelligence for customer-centric business teams.
Write production-level test-driven code in Python and SQL.
Analyze large datasets to uncover insights that inform marketing and customer-centric investments.
Plan and execute experimentation initiatives, ensuring cross-functional alignment, robust analysis, and practical insights.
Develop data-driven products that provide clear insights and recommendations to non-technical audiences through visualizations and presentations.
Work collaboratively with product managers, senior scientists, engineers, and other team members in an agile and scrum environment.
Required Skills
5+ years of experience in data science.
Excellent knowledge and experience of Python and SQL.
Proficient in analyzing and modeling big data using statistical, machine learning, and deep learning techniques.
Expertise in transforming ambiguous questions into impactful experiments, analysis, or models.
Familiarity with modeling requirements for Customer 360 and Customer Journey.
Qualifications
The role demands a deep understanding of data science techniques, the ability to communicate insights effectively, and a strong interest in customer-centric analytics.
Wisestep is a technology company that leverages AI and machine learning to solve business problems. They are looking for a data scientist to join their team in Hyderabad.
Key Responsibilities
Utilize AI and ML concepts to solve challenging business problems.
Perform data mining and analysis to uncover insights and trends.
Develop and maintain web scraping scripts and tools to extract data from targeted websites.
Work on problems from various domains like NLP, recommendation engines, computer vision, etc.
Participate in the complete project cycle, including understanding problem statements, data gathering, data analysis, data cleaning, implementing ML/AI solutions, and deploying them to production.
Continuously expand knowledge on the latest advances in ML/AI.
Desired Skills and Experience
Proficiency in Python is a must. Knowledge of other programming languages is beneficial.
Strong understanding of statistics and machine learning, including probability theory, parametric and non-parametric models, and various ML techniques.
Experience in developing and deploying ML models into production.
Knowledge of deep learning algorithms (CNN, RNN, LSTM, autoencoders, Large Language Models, etc.).
Qualifications
The ideal candidate should be adept at quickly learning new tools and languages, have a solid background in machine learning and artificial intelligence, and have a track record of deploying models to production.
Infosys, a global leader in consulting, technology, and next-generation services, is hiring a Python Developer for their Hyderabad location.
Key Responsibilities
Interface with clients for quality assurance, issue resolution, and ensuring high customer satisfaction.
Understand requirements, create and review designs, validate architecture, and ensure high levels of service offerings to clients.
Participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, and perform code reviews.
Lead and guide teams towards developing optimized, high-quality code deliverables.
Engage in continual knowledge management and adherence to organizational guidelines and processes.
Build efficient programs and systems, contributing to clients' digital transformation journeys.
Qualifications and Skills
Knowledge of more than one technology.
Basics of architecture and design fundamentals.
Knowledge of testing tools and agile methodologies.
Understanding of project life cycle activities on development and maintenance projects.
Familiarity with estimation methodologies and quality processes.
Analytical abilities, strong technical skills, and good communication skills.
Good understanding of technology and domain.
Qualifications
The role requires a strong foundation in software development, experience with Python, and a good grasp of various technologies and methodologies used in the industry.
Opendoor, a real estate technology company, is seeking a Senior Data Scientist for their Hyderabad office. The company focuses on transforming the real estate industry through data science and technology.
Roles and Responsibilities
Direct ownership of the maintenance and performance management of the marketing science ML models that are used for managing a more than nine-figure marketing budget.
Drive direct business impact with executive visibility.
Design, test, implement, and democratize Marketing Science models (e.g., MMM, uplift, CLTV).
Partner with Marketing and Analytics Engineering to use ML models for ad delivery optimization.
Share predictions with publishers (e.g., Google) for ad delivery optimization.
Partner with stakeholder teams to determine business needs.
Skills Needed
BS or MS degree in Statistics, Computer Science, or a related technical field.4+ years of experience in data science.
Proven experience using Python to deploy and manage ML models.
Establish and maintain best practices for ML operations.
Solid understanding of statistics and applying statistical methods to business problems.
Strong SQL skills.
Ability to distill complex information into actionable insights.
Qualifications
The role requires a strong background in data science, extensive experience with Python and SQL, and the ability to communicate complex insights effectively.
The need for experts in data science continues to grow, with chances available across different sectors and areas of expertise. Whether it's crafting advanced artificial intelligence and machine learning models at Neudesic, devising solutions for understanding consumer behavior at Minfy, addressing issues within businesses at Wisestep, aiding in the digital evolution at Infosys, or enhancing marketing approaches at Opendoor, there are a variety of positions for experienced data scientists.
Every position brings its own set of challenges and the opportunity to significantly influence the process of making decisions based on data. If you're enthusiastic about data science and possess the necessary skills, these positions provide great chances to progress in your career and work on meaningful projects.
