Syntricate Technologies

Lead Data Scientist

Syntricate Technologies$120K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10 years of experience in data science or business analytics
  • Proven ability to derive solutions for complex problems
  • Strong grasp of data structures and algorithms
  • Experience in end-to-end project management in data analytics
  • Proficient in model building with Python and data modeling with SQL
  • Understanding of various databases including RDBMS and NoSQL
  • Hands-on experience with data mining techniques

Responsibilities

  • Client complex data science problems
  • Lead end-to-end data projects from scoping to visualization
  • Build and validate predictive models using statistical tools
  • Collaborate with cross-functional teams to maximize value
  • Identify and automate valuable data collection processes
  • Analyze structured and unstructured data for insights
  • Utilize machine learning techniques for data-driven solutions

Benefits

  • Opportunities for professional development and training
  • Flexible working hours
  • Collaboration with diverse teams
  • Innovative projects with real-world impact
  • Access to the latest tools and technologies
Full Job Description
Required Skills:
  • 10 years of relevant experience in data science, advanced statistics or business analytics
  • Ability to Client effective solutions to complex problems.
  • Strong skills in data-structures and algorithms.
  • Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights, and visualizations
  • Model building using various statistical tools (Python, etc.) and data modeling techniques using SQL, etc. along with regular validation of models as advised by management.
  • Grasp at databases including RDBMS, NoSQL, MongoDB etc.
  • Experience in data mining
  • Exceptional interpersonal skills and written communication skills
  • Strong experience in documenting model methodologies, performance and hypothesis testing
  • Ability to evaluate risks and provide recommendations / solutions in a timely manner
  • Experience using statistical computer languages (Python) to manipulate data and draw insights from large data sets. Experience working with data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Must have MLOps experience
  • Ability to understand a problem statement and implement analytical solutions techniques independently or with minimal supervision
  • Work and collaborate with other teams to deliver and create value
  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to Client trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • should have good hands on experience on basic non linear Client techniques and able to explain the previous project experience PL language : Python

About Syntricate Technologies

Syntricate Technologies Careers

Joining Syntricate Technologies presents an unparalleled opportunity to advance a career in technology with a company at the forefront of digital innovation. Syntricate Technologies is renowned for its commitment to leadership, diversity, and leveraging technology to solve complex problems. This is where professionals come to not just seek job opportunities but to forge lasting careers in an environment that values growth and leadership.

Explore Career Opportunities

Syntricate Technologies is actively hiring and offers a variety of positions that cater to different skills and career aspirations. From entry-level roles to leadership positions, the potential for professional advancement is nearly limitless. Syntricate Technologies is not just a company; it's a place where talented individuals can thrive.

Innovation and Professional Growth

At Syntricate Technologies, innovation isn't just another buzzword—it's the cornerstone of the company culture. Employees are encouraged to push the boundaries of what is possible, bringing groundbreaking solutions to the table. With a team of dedicated professionals, Syntricate Technologies fosters a culture of continuous improvement and professional growth.

Diversity and Inclusion

Syntricate Technologies believes that diversity fuels innovation. With a commitment to creating a diverse and inclusive workplace, the company actively seeks to hire individuals from various backgrounds and experiences. Diversity training is integral, ensuring that all team members feel valued and understood.

Internship Programs and Employment Benefits

For those starting their careers, Syntricate Technologies offers robust internship programs that provide real-world experience and networking opportunities. Interns at Syntricate Technologies gain invaluable industry insights and professional skills that are crucial for future employment. Full-time employees enjoy a comprehensive benefits package that supports both their professional and personal lives. Benefits at Syntricate Technologies are designed to ensure employees are healthy, happy, and secure.

Applying for a Position

To apply for a position at Syntricate Technologies, candidates should prepare a resume that highlights relevant experience and skills. The interview process is designed to assess not only professional qualifications but also a candidate's fit within the company culture. Syntricate Technologies values curiosity, creativity, and a passion for technology.

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